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Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now With a single payment you will gain access to Data Science Course Bundle 2022 including 10 Career development courses, original hardcopy certificate, transcript and a student ID card which will allow you to get discounts on things like music, food, travel and clothes etc. The world is one big data bank, and data science is one of the most demanding professional sectors of the present era. The analytical and programming-oriented field of data science has limited resources for candidates to learn and develop skills, which is why you need our highly advanced [course_title] course.With step-by-step interactive video content, our training will equip you with extensive knowledge and expertise in data science, including machine learning. This bundle course offers an opportunity to foster your career opportunities with an expert-level understanding of data science and become skilful in this industry. Take this course anywhere and at any time. Don't let your lifestyle limit your learning or your potential. Data Science Course Bundle 2022 will provide you with the CPD certificate that you'll need to succeed. Gain experience online and interact with experts. This can prove to be the perfect way to get noticed by a prospective employer and stand out from the crowd. Data Science Course Bundle 2022 has been rated and reviewed highly by our learners and professionals alike. We have a passion for teaching, and it shows. All of our courses have interactive online modules that allow studying to take place where and when you want it to. The only thing you need to take Data Science Course Bundle 2022 is Wi-Fi and a screen. You'll never be late for class again. Experienced tutors and mentors will be there for you whenever you need them, and solve all your queries through email and chat boxes. Benefits you'll get choosing Apex Learning for this Course: One payment, but lifetime access to 11 CPD courses Certificates, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Gain valuable knowledge without leaving your home What other courses are included with this Course? Level 2 Microsoft Office Essentials Microsoft Teams Leadership & Management Diploma Working from Home Essentials Mental Health and Working from Home Online Meeting Management Effective Communication Skills Time Management Report Writing Emotional Intelligence and Human Behaviour Curriculum ***Data Science Course Bundle 2022*** Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview Set-up the Environment for the Course (lecture 1) Set-up the Environment for the Course (lecture 2) Two other options to setup environment Python Essentials Python data types Part 1 Python Data Types Part 2 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) Python Essentials Exercises Overview Python Essentials Exercises Solutions Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. NumPy arrays, built-in methods, array methods and attributes. Indexing, slicing, broadcasting & boolean masking Arithmetic Operations & Universal Functions Exercises Overview Exercises Solutions Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. Pandas Introduction Pandas Data Structures - Series Pandas Data Structures - DataFrame Handling Missing Data Data Wrangling - Combining, merging, joining Groupby Useful Methods and Operations Project 1 (Overview) Customer Purchases Data Project 1 (Solutions) Customer Purchases Data Project 2 (Overview) Chicago Payroll Data Project 2 (Solutions Part 1) Chicago Payroll Data Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach Matplotlib Essentials - Exercises Overview Matplotlib Essentials - Exercises Solutions Python for Data Visualization using Seaborn Introduction & Installation Distribution Plots Categorical Plots (Part 1) Categorical Plots (Part 2) Axis Grids Matrix Plots Regression Plots Controlling Figure Aesthetics Exercises Overview Exercise Solutions Python for Data Visualization using pandas Pandas Built-in Data Visualization Pandas Data Visualization Exercises Overview Panda Data Visualization Exercises Solutions Python for interactive & geographical plotting using Plotly and Cufflinks Interactive & Geographical Plotting (Part 1) Interactive & Geographical Plotting (Part 2) Interactive & Geographical Plotting Exercises (Overview) Interactive & Geographical Plotting Exercises (Solutions) Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types….. Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff Linear Regression Model - Hands-on (Part 1) Linear Regression Model Hands-on (Part 2) Good to know! How to save and load your trained Machine Learning Model! Linear Regression Model (Insurance Data Project Overview) Linear Regression Model (Insurance Data Project Solutions) Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificity…etc. Logistic Regression Model - Hands-on (Part 1) Logistic Regression Model - Hands-on (Part 2) Logistic Regression Model - Hands-on (Part 3) Logistic Regression Model - Hands-on (Project Overview) Logistic Regression Model - Hands-on (Project Solutions) Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality …. K Nearest Neighbors - Hands-on K Nearest Neighbors (Project Overview) K Nearest Neighbors (Project Solutions) Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging…. Decision Tree and Random Forests - Hands-on (Part 1) Decision Tree and Random Forests (Project Overview) Decision Tree and Random Forests (Project Solutions) Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) Support Vector Machines - Hands-on (SVMs) Support Vector Machines (Project 1 Overview) Support Vector Machines (Project 1 Solutions) Support Vector Machines (Optional Project 2 - Overview) Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method ….. K Means Clustering - Hands-on K Means Clustering (Project Overview) K Means Clustering (Project Solutions) Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) Principal Component Analysis (PCA) - Hands-on Principal Component Analysis (PCA) - (Project Overview) Principal Component Analysis (PCA) - (Project Solutions) Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance Python for Recommender Systems - Hands-on (Part 1) Python for Recommender Systems - - Hands-on (Part 2) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) NLP-Challenges, Data Sources, Data Processing ….. Feature Engineering and Text Preprocessing in Natural Language Processing NLP - Tokenization, Text Normalization, Vectorization, BoW…. BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes … Pipeline feature to assemble several steps for cross-validation… How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £10 * 11 = £110) Hard Copy Certificate: Free (For The Title Course) If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a Flat 50% discount on hard copy certificates, and you can get each for just £10! P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. CPD 20 CPD hours / points Accredited by CPD Quality Standards Who is this course for? There is no experience or previous qualifications required for enrolment on this Data Science Course Bundle 2022. It is available to all students, of all academic backgrounds. Requirements Our Data Science Course Bundle 2022 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having this CPD certificate will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Certificates Certificate of completion Digital certificate - Included

The 'Mathematics' course provides a comprehensive study of various mathematical concepts, including mathematical logic, matrices, trigonometric functions, pair of straight lines, lines & planes, and linear programming. It aims to enhance students' mathematical knowledge and problem-solving skills. Learning Outcomes: Understand the fundamentals of mathematical logic and its application in problem-solving. Comprehend matrix operations and solve mathematical problems involving matrices. Analyze trigonometric functions and their properties in various mathematical contexts. Solve problems related to pair of straight lines and their equations. Explore lines and planes in three-dimensional space and their geometric properties. Apply linear programming techniques to optimize solutions in real-world scenarios. Acquire a strong foundation in mathematics and develop critical thinking abilities. Demonstrate proficiency in mathematical concepts through problem-solving exercises. Utilize mathematical tools and techniques in practical applications and academic settings. Successfully complete the Mathematics course with a comprehensive understanding of key mathematical principles. Why buy this Mathematics? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Mathematics there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Mathematics course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Mathematics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Mathematics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Mathematics is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Unit 01: Introduction Introduction 00:01:00 Unit 02: Mathematical Logic Introduction to Mathematical Logic, What is Sentence, Statements and their Types 00:02:00 Introduction to Logical Connectivity, Tautology, Contradiction, Contingency, Pattern 00:06:00 Quantitative and Quantified Statement and types and example 00:03:00 Dual: Replacing of Connections and Symbols 00:02:00 Negations of Compound Statement, Converse, Inverse, & Contrapositive 00:03:00 Algebra of Statements and Law 00:05:00 Real Life application of Logic to Switching Electric Circuit 00:05:00 Unit 03: Matrices Introduction to Matrices, Multiplication and Addition using Matrix 00:06:00 Inverse of Matrix Uniqueness of Inverse, Elementary Transformation 00:09:00 Method of REDUCTION AND INVERSION with real life example how we can implement 00:17:00 Unit 04: Trigonometric Functions Introduction to Trigonometric Function 00:03:00 General Solutions and Theorem 00:10:00 Solution of Triangle: Polar Co-ordinates 00:22:00 Rules and Theorems of Sin Cosine and Tan 00:22:00 Unit 05: Pair of Straight Line Introduction & Combined Equations 00:07:00 Degrees and Types 00:13:00 Some Theorem 00:17:00 Unit 06: Lines & Planes Introduction - vector Cartesian theorem 00:02:00 Cartesian Equation & 2 Point Theorem 00:03:00 Theorems & Problem Solving 00:05:00 Distance of Point Line 00:05:00 Skew Lines 00:01:00 Distance of skew lines 00:03:00 Distance between parallel lines 00:02:00 Equation of Plane and Cartesian Form 00:10:00 Unit 07: Linear Programming Linear Programming Introduction 00:08:00 Introduction to LPP (Linear Programming Problem) 00:05:00 LPP Problem Solving 00:07:00 Assignment Assignment - Mathematics 00:00:00

Advance Mathematics Are you ready to take your love for math to the next level? Our Advance Mathematics course is like a supportive mentor, here to guide you through the fascinating world beyond the basics. It's about empowering you to think critically, solve problems creatively, and see the world in a new light. Our Advance Mathematics course will help you develop a strong mathematical logic foundation, enabling you to dissect sentences, identify statements, and classify them into various types with precision. Plus, you will comprehensively understand trigonometric functions and their applications. You'll confidently solve triangles, explore polar coordinates, and navigate through the rules and theorems of sine, cosine, and tangent. Moreover, in this Advance Mathematics course, you will acquire the skills needed to tackle real-world problems through linear programming, allowing you to optimize solutions using mathematical models. You will also gain insights into the dynamic relationships between pairs of straight lines, understanding degrees and types to solve complex geometric problems. Furthermore, you will understand the concept of multiplication & addition using matrix, inverse of matrix, uniqueness of inverse, etc. Don't let fear hold you back from unlocking your full mathematical potential. Enroll in our Advance Mathematics course! Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Unit 01: Introduction Introduction 00:01:00 Unit 02: Mathematical Logic Introduction to Mathematical Logic, What is Sentence, Statements and their Types 00:02:00 Introduction to Logical Connectivity, Tautology, Contradiction, Contingency, Pattern 00:06:00 Quantitative and Quantified Statement and types and example 00:03:00 Dual: Replacing of Connections and Symbols 00:02:00 Negations of Compound Statement, Converse, Inverse, & Contrapositive 00:03:00 Algebra of Statements and Law 00:05:00 Real Life application of Logic to Switching Electric Circuit 00:05:00 Unit 03: Matrices Introduction to Matrices, Multiplication and Addition using Matrix 00:06:00 Inverse of Matrix Uniqueness of Inverse, Elementary Transformation 00:09:00 Method of REDUCTION AND INVERSION with real life example how we can implement 00:17:00 Unit 04: Trigonometric Functions Introduction to Trigonometric Function 00:03:00 General Solutions and Theorem 00:10:00 Solution of Triangle: Polar Co-ordinates 00:21:00 Rules and Theorems of Sin Cosine and Tan 00:22:00 Unit 05: Pair of Straight Line Introduction & Combined Equations 00:07:00 Degrees and Types 00:13:00 Some Theorem 00:17:00 Unit 06: Lines & Planes Introduction - vector Cartesian theorem 00:02:00 Cartesian Equation & 2 Point Theorem 00:03:00 Theorems & Problem Solving 00:05:00 Distance of Point Line 00:05:00 Skew Lines 00:01:00 Distance of skew lines 00:03:00 Distance between parallel lines 00:02:00 Equation of Plane and Cartesian Form 00:10:00 Unit 07: Linear Programming Linear Programming Introduction 00:08:00 Introduction to LPP (Linear Programming Problem) 00:05:00 LPP Problem Solving 00:07:00

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!

In this course, we'll learn how to visualize data with real weather data downloaded from the US National Weather Service using the R programming language and RStudio. We recommend that you have some background in HTML, CSS, and JavaScript. You don't need to be an expert by any means, but you should have experience building web pages with HTML and CSS, and you should have basic programming skills with JavaScript.

Discover the thrilling world of artificial intelligence with the 'Machine Learning Course with Python'. Immerse yourself in a voyage from foundational concepts, unveiling the mysteries behind algorithms, to diving deep into the cores of preprocessing, regression, and classification. Crafted meticulously, this course introduces Python as the catalyst, opening doors to data-driven decision-making and predictive analysis, empowering your journey in the ever-evolving field of machine learning. Learning Outcomes Grasp the foundational knowledge of various machine learning algorithms. Attain proficiency in preprocessing data for optimal outcomes. Master the nuances of regression analysis using Python. Delve into the intricacies of classification techniques. Enhance problem-solving abilities with practical Python-driven machine learning applications. Why choose this Machine Learning Course with Python course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Machine Learning Course with Python Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Machine Learning Course with Python course for? Aspiring data scientists eager to harness the power of machine learning. Python enthusiasts aiming to delve into its applications in AI. Professionals in the tech industry seeking a transition into data roles. Academics and researchers wanting to employ machine learning in their work. Business analysts aiming to leverage predictive analytics for better insights. Career path Data Scientist: £40,000 - £70,000 Machine Learning Engineer: £50,000 - £80,000 AI Researcher: £45,000 - £75,000 Data Analyst: £30,000 - £50,000 Python Developer: £35,000 - £65,000 Business Intelligence Developer: £40,000 - £60,000 Prerequisites This Machine Learning Course with Python does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Course with Python was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction to Machine Learning Algorithms Introduction to types of ML algorithm 00:02:00 Module 02: Preprocessing Importing a dataset in python 00:02:00 Resolving Missing Values 00:06:00 Managing Category Variables 00:04:00 Training and Testing Datasets 00:07:00 Normalizing Variables 00:02:00 Normalizing Variables - Python Code 00:03:00 Summary 00:01:00 Module 03: Regression Simple Linear Regression - How it works? 00:04:00 Simple Linear Regreesion - Python Implementation 00:07:00 Multiple Linear Regression - How it works? 00:01:00 Multiple Linear Regression - Python Implementation 00:09:00 Decision Trees - How it works? 00:05:00 Random Forest - How it works? 00:03:00 Decision Trees and Random Forest - Python Implementation 00:04:00 Module 04: Classification kNN - How it works? 00:02:00 kNN - Python Implementation 00:10:00 Decision Tree Classifier and Random Forest Classifier in Python 00:10:00 SVM - How it works? 00:04:00 SVM - Python Implementation 00:06:00 Assignment Assignment - Machine Learning Course with Python 00:00:00

Want to become an expert NLP engineer and a data scientist? Then this is the right course for you. In this course, we will be covering complex theory, algorithms, and coding libraries in a very simple way that can be easily grasped by any beginner as well.

You do not need any lectures regarding the importance of Maths and English, do you? To suffice, one is the language of science, and the other is the international language. Unfortunately, we often struggle in both, thanks to the lack of a solid base. Our Learning Maths & English GCSE bundle can give you a firm foundation or help you to pass your GCSE exam with flying colours! This Learning Maths & English GCSE bundle consists of 12 individual courses. This bundle can be primarily divided into two parts. The first part, consisting of six courses, covers fundamentals and advanced mathematics. You will learn the basic concepts of Algebra, high school maths, as well as advanced maths and calculus. The other six courses deal with English language essentials. You will gain an understanding of GCSE English, TESOL, spelling, punctuation, and basics of grammar etc. Moreover, you will learn 200 common English idioms and phrases along with essay writing in English. Be the master of numbers and letters, then? Enrol immediately in this Learning Maths & English GCSE and firm your base. Happy learning! Along with this Learning Maths & English GCSE Course - CPD Accredited course, you will get 11 premium courses, an originalhardcopy, 12 PDF certificates (Main Course + Additional Courses) Student ID card as gifts. This Learning Maths & English GCSE Course - CPD Accredited Bundle Consists of the following Premium courses: Course 01: Functional Skills Maths Level 2 Course 02: Mathematics Fundamentals Course 03: Algebra Fundamentals Course 04: Calculus Level 1 - Learn Differentiation Course 05: Advanced Mathematics Course 06: High School Math Course 07: GCSE English Course 08: Diploma in TEFL/TESOL Course 09: Functional Skills: English Course 10: English Spelling, Punctuation, and Grammar Basic Course Course 11: 200 Common English Idioms and Phrases Course 12: Essay Writing in English Learning Outcome Upon completion of this Learning Maths & English GCSE bundle, you will be able to - Learn about major mathematical concepts such as Decimal numbers, Rational Numbers, Approximation etc Understand the BODMAS Simplification Rule Consolidate your understanding of fundamental mathematics Learn differential calculus Understand advanced mathematical ideas such as Matrices, Trigonometric Functions and Trigonometric Functions Comprehend the rudiments of English Grasp sentence structure, verb usage, capitalisation and punctuation rules in detail Learn 200 common English idioms and phrases Enrol now in Learning Maths & English GCSE Course - CPD Accredited to advance your career, and use the premium study materials from Apex Learning. Curriculum of the Bundle Course 01: Functional Skills Maths Level 2 Module 1: Numbers and Negative Numbers Module 2: Multiples Factors Module 3: Fractions and Power Module 4: Percentages Module 5: Expressions Module 6: Decimals Module 7: Ratio and Proportion Module 8: Exponents and Radicals Module 9: Graphs Module 10: The Profit and Loss Module 11: Perimeter and Area Module 12: Averages Module 13: Probability Course 02: Mathematics Fundamentals Integers (Directed Numbers) Factors and Multiples Fractions Simplification Rule : BODMAS Decimal numbers Rational Numbers Approximation Estimation and Scientific Notation or Standard form Percentage Ratio and Proportion Unitary Method and its Applications Profit , Loss, discount and Tax Course 03: Algebra Fundamentals Introduction Fundamental concepts on Algebraic Expressions Operations on Algebraic Expressions Indices ( Exponents) Multiplication and Division of Algebraic expressions Brackets in Algebra Linear equations in one variable Algebraic Identities Formula : Change of subject of formula Linear Inequalities Resolve into factors Algebraic Fractions Coordinate axis - points and Line graph System of simultaneous linear equations in two variables Polynomials Quadratic Polynomials Quadratic Equations Course 04: Calculus Level 1 - Learn Differentiation Section 01: Introduction Section 02: Fundamental Rules for Differentiation Section 03: Differentiation of Trigonometric Functions Section 04: Differentiation of Exponential Functions Section 05: Differentiation of Logarithmic Functions Section 06: Revision Section 0on Chain Rule Section 07: Differentiation of inverse Trig Function Section 08: Differentiation of Hyperbolic Trig Functions Section 09: Differentiation of Implicit functions Section 10: Logarithmic Differentiation Section 11: Differentiation of Parametric Functions Section 12: Differentiation of Higher order derivatives Course 05: Advanced Mathematics Unit 01: Introduction Unit 02: Mathematical Logic Unit 03: Matrices Unit 04: Trigonometric Functions Unit 05: Pair of Straight Line Unit 06: Lines & Planes Unit 07: Linear Programming Course 06: High School Math Introduction Functions Quadratic Equations Co-ordinate Geometry Sequence and series Binomial Theorem Differentiation Tangents and Normals Stationary Points & Curve Sketching Second Derivative Test (Maximum & Minimum Points) Simultaneous Linear equations Essential Revision Course 07: GCSE English Module 01: Introduction to GCSE English Module 02: Edexcel English Section A Part 01 Module 03: Edexcel English Section A Part 02 Module 04: Edexcel English Section B Module 05: Edexcel English Section C Module 06: Cambridge English Exercise 1-4 Module 07: Cambridge English Exercise 5 Module 08: Cambridge English Exercise 6 Course 08: Diploma in TEFL/TESOL Module 01: Introduction to English Language Teaching & Learning Module 02: Linguistics Module 03: English Pronunciation Module 04: Teaching Grammar and Vocabulary Module 05: Language Teaching Methodologies Module 06: Teaching Receptive Skills: Reading Module 07: Teaching Productive Skills: Writing Module 08: Teaching Receptive Skills: Listening Module 09: Teaching Productive Skills: Speaking Module 10: Lesson Planning and Creating Materials Module 11: Use of Games and Activities Module 12: Technology in Second Language Teaching & Learning Module 13: Classroom Management and Student Motivation Module 14: Teaching English: Situational Approach Module 15: Professional Development and Employment Course 09: Functional Skills: English Module 1: Introduction to the Course Module 2: Basics of Grammar Module 3: The Basics of Sentence Module 4: Structure of Sentence Module 5: Question Module 6: Punctuation & Capitalisation Module 7: Spelling Module 8: Common Mistakes & Ways to Improve Course 10: English Spelling, Punctuation, and Grammar Basic Course Module 1: Introduction to the Course Module 2: The Basics of Grammar Module 3: The Basics of Sentence Module 4: Structure of Sentence Module 5: Question Module 6: Punctuation and Capitalisation Module 7: Spelling Module 8: Common Mistakes & Ways to Improve Course 11: 200 Common English Idioms and Phrases Section 01: Introduction Section 02: Idioms and Phrases Unit 1 Section 03: Idioms and Phrases Unit 2 Section 04: Idioms and Phrases Unit 3 Section 05: Idioms and Phrases Unit 4 Section 06: Idioms and Phrases Unit 5 Section 07: Idioms and Phrases Unit 6 Section 08: Idioms and Phrases Unit 7 Section 09: Idioms and Phrases Unit 8 Section 10: Idioms and Phrases Unit 9 Section 11: Idioms and Phrases Unit 10 Course 12: 200 Common English Idioms and Phrases Module 01: Introduction Module 02: The Narrative Essay Module 03: The Narrative Essay / part 2 Module 04: Introduction to the Essay 'Shooting an Elephant' Module 05: A reading of 'Shooting an Elephant' Module 06: Discussion on 'Shooting an Elephant' Module 07: Introduction to 2nd Essay - 'Most Important Day' Module 08: A reading - 'Most Important Day' Module 09: Discussion - 'Most Important Day' Module 10: Prompt for your own Narrative Essay CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Learning Maths & English GCSE Course - CPD Accredited bundle. Requirements This Learning Maths & English GCSE Course - CPD Accredited course has been designed to be fully compatible with tablets and smartphones. Career path Building a solid foundation in maths and English will benefit you in every career prospect. Specifically, This Learning Maths & English GCSE course will lead you to some particular career opportunities, such as; Teacher - £30,000 - £41,000 Annually Private Tutor - £20,00 - £25.00 Annually Finance Manager - £50,000 - £60,000 Annually Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Functional Skills Maths Level 2) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

In this self-paced course, you will learn how to use TensorFlow 2 to build recurrent neural networks (RNNs). You will learn about sequence data, forecasting, Elman Unit, GRU, and LSTM. You will also learn how to work with image classification and how to get stock return predictions using LSTMs. We will also cover Natural Language Processing (NLP) and learn about text preprocessing and classification.

This course will be mainly focusing on machine learning algorithms. Throughout this course, we are preparing our machine to make it ready for a prediction test.