Dive into the captivating world of programming with our course titled 'Python Basic Programming for Absolute Beginners'. Whether you're a novice looking to embark on a new journey or someone eager to grasp the foundational elements of Python, this course is tailored for you. From setting up Python to crafting your first game and understanding the intricacies of control flow statements, our comprehensive curriculum ensures you grasp every fundamental aspect, setting a robust foundation for your future coding endeavours. Learning Outcomes Understand the core concepts and foundational elements of Python programming. Develop proficiency in working with Python strings, operators, and sequences. Master the art of creating control flow statements and basic Python games. Gain insights into file structures and the application of regular expressions in Python. Successfully complete a Python project, showcasing your newfound knowledge. Why buy this Python Basic Programming for Absolute Beginners? 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 Python Basic Programming for Absolute Beginners 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 Python Basic Programming for Absolute Beginners for? Beginners with no prior knowledge of programming seeking a structured introduction. Individuals with a curiosity to explore coding as a new skill or hobby. Students desiring to enhance their academic learning with foundational programming knowledge. Professionals from diverse fields looking to broaden their skill set. Educators wishing to acquire beginner-level knowledge for instructional purposes. Prerequisites This Python Basic Programming for Absolute Beginners does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Basic Programming for Absolute Beginners 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 Python Developer: Average salary range £45,000 - £70,000. Data Analyst: Average salary range £30,000 - £55,000. Web Developer: Average salary range £25,000 - £50,000. Software Engineer: Average salary range £35,000 - £75,000. Automation Tester: Average salary range £40,000 - £65,000. Game Developer: Average salary range £30,000 - £60,000 Course Curriculum Section 01: Introduction Course Introduction 00:02:00 Course Curriculum 00:04:00 How to get Pre-requisites 00:02:00 Getting Started on Windows, Linux or Mac 00:01:00 Section 02: Introduction To Python And Setting Up Introduction to Python 00:02:00 Python vs Other Languages 00:04:00 Why It's Popular 00:04:00 Command Line Basics 00:07:00 Python Installation (Step By Step) 00:06:00 PyCharm IDE Installation 00:08:00 Getting Start PyCharm IDE 00:05:00 First Python Hello World Program 00:07:00 Assessment Test1 00:01:00 Solution for Assessment Test1 00:01:00 Summary 00:02:00 Section 03: PythonBasic Introduction 00:02:00 Variables 00:16:00 Data Types 00:13:00 Type Casting 00:07:00 User Inputs 00:08:00 Comments 00:04:00 Assessment Test2 00:01:00 Solution for Assessment Test2 00:02:00 Summary 00:02:00 Section 04: Python Strings Introduction 00:02:00 Strings 00:05:00 String Indexing 00:05:00 String Slicing 00:04:00 String Built-in Functions 00:09:00 Formatting String (Dynamic Data) 00:05:00 Assessment Test 00:01:00 Solution for Assessment Test 00:01:00 Summary 00:01:00 Section 05: Python Operators Introduction 00:03:00 Arithmetic Operators 00:08:00 Assignment Operators 00:05:00 Comparison Operators 00:05:00 Logical Operators 00:02:00 AND Operator 00:04:00 OR Operator 00:02:00 NOT Operator 00:03:00 Booleans 00:02:00 Assessment Test4 00:02:00 Solution for Assessment Test4 00:01:00 Summary 00:01:00 Section 06: Python Sequences Introduction 00:02:00 Arrays in Earlier 00:02:00 Lists 00:06:00 Add List Items 00:03:00 Remove List Items 00:01:00 Sort Lists 00:03:00 Join Lists 00:08:00 Tuples 00:08:00 Update tuples 00:07:00 Join tuples 00:02:00 Dictionaries 00:06:00 Add Dictionary Items 00:04:00 Remove Dictionary Items 00:03:00 Nested Dictionaries 00:04:00 Sets 00:04:00 Add Set Items 00:03:00 Remove Set Items 00:01:00 Join Set Items 00:04:00 Assessment Test 00:01:00 Solution for Assessment Test 00:02:00 Summary 00:01:00 Section 07: Python Statements Introduction 00:03:00 If Statement 00:03:00 If-else Statement 00:04:00 If-elif-else Statement 00:04:00 If Statement Coding Exercise 00:05:00 Assessment Test 00:02:00 Solution for Assessment Test 00:02:00 Summary 00:02:00 Section 08: Python Control Flow Statements Introduction 00:04:00 Flow Charts 00:04:00 While Loops Statement 00:10:00 For Loops Statement 00:06:00 Loop through a String 00:03:00 The Break Statement 00:03:00 The Continue Statement 00:02:00 The range() Function 00:04:00 Nested Loops 00:04:00 2D List using Nested Loop 00:04:00 Assessment Test 00:01:00 Solution for Assessment Test 00:03:00 Summary 00:01:00 Section 09: Python Games For Beginners Introduction 00:01:00 Guessing Game 00:07:00 Car Game 00:10:00 Summary 00:01:00 Section 10: Python Functions Introduction 00:02:00 Creating a Function 00:03:00 Calling a Function 00:06:00 Function with Arguments 00:05:00 args, Arbitrary Arguments 00:04:00 kwargs, Arbitrary Keyword Arguments 00:06:00 Summary 00:01:00 Section 11: Working With File Structure Introduction 00:03:00 Reading Files 00:10:00 Creating / Writing Files 00:06:00 Delete Files 00:03:00 Summary 00:01:00 Section 12: Regular Expressions Introduction 00:02:00 RegEx Module 00:07:00 RegEx Functions 00:08:00 Summary 00:02:00 Section 13: PythonProject Introduction 00:02:00 Project Overview 00:03:00 ATM RealTime Project 00:13:00 Summary 00:01:00
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Learn to effectively integrate and build RESTful API clients into Java and Spring Boot applications using WireMock.
This course is perfect for quality assurance professionals who want to step into automation testing with Cypress. You will learn Cypress from scratch and become a specialist in building a solid Cypress automation framework to test any real-world web application.
This comprehensive .NET Core course will provide a strong foundation in clean architecture, SOLID principles, and help implement the CQRS and Mediator patterns. You will also learn to build and consume APIs in a Blazor WebAssembly application. The course content is fully compatible with .NET 6 and .NET 7, ensuring you are up-to-date with the latest version.
Learn how to program using Apache Groovy.
Embark on a transformative journey into the realm of precision and efficiency with our course, 'Programming AutoCAD with SQL Server Database Using C#.' Delve into the intricacies of marrying AutoCAD functionality with the power of SQL Server databases through the lens of C#. In this immersive learning experience, you'll progress seamlessly from laying the groundwork in Sections 1 and 2, exploring tools and SQL queries, to the advanced stages of Section 7, mastering the art of deleting data in SQL Server databases directly from AutoCAD. This course is more than a mere exploration of coding; it's a creative odyssey where you sculpt the future of design and data integration, unlocking a realm of possibilities with every line of code. Learning Outcomes Tool Proficiency and SQL Mastery: Gain expertise in the tools essential for AutoCAD programming and unravel the complexities of SQL queries, setting the foundation for database manipulation. Database Creation and Table Design: Learn to create databases and design tables, ensuring a structured and efficient storage system for your AutoCAD projects. Data Loading Techniques: Master the techniques of loading data into SQL Server databases, streamlining the process of transferring AutoCAD information to the database seamlessly. Efficient Data Retrieval: Acquire the skills to retrieve data from databases, enhancing your ability to access and utilize information stored within the SQL Server infrastructure. Data Manipulation Mastery: Explore the intricacies of updating and deleting data in SQL Server databases directly from AutoCAD, revolutionizing your approach to data management within the AutoCAD environment. Why choose this Programming AutoCAD with SQL Server Database Using C# course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Programming AutoCAD with SQL Server Database Using C# course for? Aspiring programmers eager to elevate their skills in AutoCAD and SQL Server integration. Design professionals seeking to streamline their workflow through efficient database utilization. Students and enthusiasts interested in the intersection of design and database management. Engineers and architects aiming to enhance their AutoCAD capabilities with dynamic data manipulation. Individuals keen on mastering C# for advanced applications in the AutoCAD environment. Career path CAD Programmer: £30,000 - £45,000 Database Integration Specialist: £35,000 - £50,000 Software Engineer (AutoCAD): £40,000 - £55,000 Database Administrator: £35,000 - £50,000 Architectural Technologist: £30,000 - £45,000 Engineering Software Developer: £45,000 - £60,000 Prerequisites This Programming AutoCAD with SQL Server Database Using C# does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Programming AutoCAD with SQL Server Database Using C# 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 Section 01: Introduction Course Topics 00:02:00 Introduction 00:02:00 Section 2 - Tools And SQL Queries Section Overview 00:01:00 Downloading Visual Studio 2019 00:01:00 Downloading SQL Server Express 00:02:00 Downloading SQL Server Management Studio (SSMS) 00:01:00 SQL Queries - Overview 00:03:00 INSERT SQL Statement - Demo 00:13:00 SELECT SQL Statement - Demo 00:08:00 UPDATE SQL Statement - Demo 00:08:00 DELETE SQL Statement - Demo 00:11:00 Section 3 - Create Database And Tables Section Overview 00:01:00 Creating the CADDB Database 00:03:00 Creating the Lines Table 00:07:00 Creating the MTexts Table 00:04:00 Creating the Plines Table 00:04:00 Creating the Blocks No Attribute Table 00:04:00 Creating the Blocks With Attributes Table 00:04:00 Section 4 - Loading Into SQL Server Database Section Overview 00:02:00 Loading Lines into SQL Server Database 00:01:00 Creating the CADDB Project 00:04:00 Creating the Settings File 00:04:00 Creating the Get Connection Method 00:03:00 Creating the LoadLines() Method 00:22:00 Creating the User Interface for the LoadLines() method 00:07:00 Running the LoadLines() Method 00:05:00 Loading MTexts into SQL Server Database - Overview 00:01:00 Creating the LoadMTexts() Method 00:10:00 Running the LoadMTexts() Method 00:06:00 Loading LWPolylines into SQL Server Database - Overview 00:01:00 Creating the LoadPolylines() Method 00:13:00 Running the LoadPlines() Method 00:03:00 Running the LoadPlines() Method 00:03:00 Creating the LoadBlocksNoAttribute() Method 00:11:00 Running the LoadBlocksNoAttribute() Method 00:03:00 Loading Blocks (with Attributes) into SQL Server Database - Overview 00:01:00 Creating the LoadBlocksWithAttributes() Method 00:07:00 Running the BlocksWithAttributes() Method 00:02:00 Section 5 - Retrieving Data From Database Section Overview 00:02:00 Retrieving Lines from SQL Server Database - Overview 00:01:00 Creating the DBRetrieveUtil Class 00:03:00 Creating the RetrieveAndDrawLines() Method (Part 1) 00:17:00 Creating the GetColorIndex() Method 00:05:00 Creating the RetrieveAndDrawLines() Method (Part 2) 00:11:00 Running and Testing the RetrieveAndDrawLines() Method 00:09:00 Retrieving MTexts from SQL Server Database - Overview 00:01:00 Creating the RetrieveAndDrawMTexts() Method 00:11:00 Running and Testing the CreateAndDrawMTexts() Method 00:05:00 Retrieving LWPolylines from SQL Server Database - Overview 00:01:00 Creating the RetrieveAndDrawPlines() Method 00:12:00 Running and Testing the RetrieveAndDrawPlines() Method 00:05:00 Retrieving Blocks (No Attribute) from SQL Server Database - Overview 00:01:00 Creating the RetrieveAndDrawBlocksNoAttribute() Method 00:11:00 Running and Testing the RetrieveAndDrawBlocksNoAttribute() Method 00:05:00 Retrieving Blocks (with Attributes) from SQL Server Database - Overview 00:01:00 Creating the RetrieveAndDrawBlocksWithAttributes() Method 00:21:00 Running and Testing the RetrieveAndDrawBlocksWithAttributes() Method 00:10:00 Section 6 - Updating Data In SQL Server Database - Overview Section Overview 00:01:00 Updating Lines in SQL Server Database - Overview 00:01:00 Creating the DBUpdateUtil Class 00:02:00 Creating the UpdateLines() Method 00:25:00 Creating the User Interface for UpdateLines() Method 00:02:00 Running and Testing the UpdateLines() Method 00:08:00 Updating MTexts in SQL Server Database - Overview 00:01:00 Creating the UpdateMTexts() Method 00:09:00 Creating the User Interface for UpdateMTexts() 00:01:00 Running and Testing the UpdateMTexts() Method 00:07:00 Updating the LWPolylines in SQL Server Database - Overview 00:01:00 Creating the UpdateLWPolylines() Method 00:09:00 Running and Testing the UpdateLWPolylines() Method 00:07:00 Updating Blocks (No Attributes) in SQL Server Database - Overview 00:01:00 Creating the UpdateBlocksNoAttributes() Method 00:10:00 Creating the User Interface for UpdateBlocksNoAttributes() Method 00:01:00 Running and Testing the UpdateBlocksNoAttributes() Method 00:04:00 Updating Blocks With Attributes in SQL Server Database - Overview 00:01:00 Creating the UpdateBlocksWithAttributes() Method 00:08:00 Creating the User Interface for UpdateBlocksNoAttributes() Method 00:01:00 Running and Testing the UpdateBlocksWithAttributes() Method 00:09:00 Section 7 - Deleting Data In SQL Server Database From AutoCAD - Overview Section Overview@ 00:02:00 Deleting Lines in SQL Server from AutoCAD - Overview 00:01:00 Creating the DBDeleteUtil Class 00:01:00 Creating the DeleteLines() Method 00:13:00 Creating the User Interface for the DeleteLines() Method 00:02:00 Running and Testing the DeleteLines() Method 00:04:00 Deleting MTexts in SQL Server Database from AutoCAD - Overview 00:01:00 Creating the DeleteMTexts() Method 00:04:00 Creating the User Interface for DeleteMTexts() Method 00:01:00 Running and Testing the DeleteMTexts() Method 00:03:00 Deleting LWPolylines in SQL Server Database from AutoCAD - Overview 00:01:00 Creating the DeletePlines() Method 00:04:00 Creating the User Interface for the DeletePlines() Method 00:01:00 Running and Testing the DeletePlines() Method 00:02:00 Deleting Blocks (No Attribute) in SQL Server Database from AutoCAD - Overview 00:01:00 Creating the DeleteBlocksNoAttribute() Method 00:03:00 Creating the User Interface for DeleteBlocksNoAttribute() Method 00:01:00 Running and Testing DeleteBlocksNoAttribute() Method 00:02:00 Deleting Blocks (With Attributes) in SQL Server Database from AutoCAD - Overview 00:01:00 Creating the DeleteBlocksWithAttributes() Method 00:02:00 Creating the User Interface for DeleteBlocksWithAttributes() Method 00:01:00 Running and Testing the DeleteBlocksWithAttributes() Method 00:02:00
Dive into the comprehensive world of Entity Framework Core with this detailed course, designed to equip you with the skills to efficiently use EF Core in .NET applications.
Discover the potential of ChatGPT and OpenAI API for language tasks such as summarization, translation, chat completion, and more. Explore the nuances of the OpenAI API, unravel its architecture, and master text generation capabilities. Whether you are a beginner or an expert, this course empowers you to apply these tools in the real world.
Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post. Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. 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