Mastering Probability and Statistics in Python
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What you'll learn
This course includes
- 30.3 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 90 lessons • 30.3 hours of video
Mastering Probability and Statistics in Python
90 lessons
• 30.3 hours
Mastering Probability and Statistics in Python
90 lessons
• 30.3 hours
- Mastering Probability and Statistics in Python - Part 1 24:13
- Mastering Probability and Statistics in Python - Part 2 14:03
- Mastering Probability and Statistics in Python - Part 3 34:45
- Mastering Probability and Statistics in Python - Part 4 20:28
- Mastering Probability and Statistics in Python - Part 5 24:10
- Mastering Probability and Statistics in Python - Part 6 24:34
- Mastering Probability and Statistics in Python - 1 Hour Full Course 01:12:43
- Mastering Probability and Statistics in Python - (Full Video: Series 2) 01:08:55
- Generate Data Report of any Dataset just in 3 lines of Python code 11:29
- Tableau Overview in 4 Minutes: Unlocking the Power of Data Visualization 04:00
- Exploring the Power of GitHub: Revolutionizing Collaboration and Development 08:03
- How To Start Freelancing For Beginners | Mastering Freelancing: Your Step-by-Step Roadmap 13:12
- How to Create a GitHub Account | GitHub Sign Up Video 04:13
- Mastering Data Analysis | Optimizing E-Commerce Promotions with Data Analysis: A Step-by-Step Guide 03:10
- Whatsapp Automation: Practical Project for Marketing and Management using Python 24:38
- Introduction To Amazon Web Services (AWS) and it's Benefits (2024) 07:52
- Get Started with the Future of Coding: GitHub Copilot 12:03
- Time Series Analysis Overview | Features of Time Series | Understanding Time Series Data 07:58
- Email Automation using Python: Practical Project for Marketing and Management 18:07
- What are the application of PySpark: Practical Applications and Real-World Examples 03:22
- Mastering MongoDB: Practical Applications and Use Cases 04:13
- What is Reinforcement Learning | Reinforcement Learning In Python 08:55
- What are the benefits from using a Chatbot- Chatbot Benefits & Features 05:17
- Brain Tumor detection using Python - A complete Project 19:44
- What Are Tensors in PyTorch? | Deep Learning with PyTorch 06:08
- How to Create Images Using AI Copilot | Step-by-Step Guide 08:13
- Geometric Transformations in Computer Vision A Comprehensive Guide 08:42
- What is Regular Expression in Python | Why We Use Regular Expressions in Python 12:12
- Email Automation in Python: A practical Tutorial 13:03
- The Power of Prompt Engineering: Maximizing Productivity in Minutes 10:07
- Automating Hyperparameter Tuning with Optuna for Machine Learning in Python 19:13
- Naive Bayes Classifier in Python (From Scratch) 52:21
- Dimensionality Reduction in Python: Simplifying Data with Pipelines 29:23
- Data Analysis Project Using Python | COVID-19 Data Analysis 16:09
- Object Detection Using Python & OpenCV: Practical Computer Vision Project 22:15
- Multiple Object Detection Using Python & OpenCV: Practical Computer Vision Project Python 14:28
- Real-Time Multiple Object Tracking with WebCam and Annotation Saving - Complete Guide 13:17
- Facebook Automation Tutorial - Easy Steps to Boost your Efficiency 17:11
- ETL Project | Load Data from S3 to RDS Complete Guide 19:28
- Deep Learning for Face Recognition: Siamese Network + VGGFace Explained 27:58
- How to Undo a Pushed Commit in Git Using Visual Studio (Beginner's Tutorial) 19:34
- How to Use TensorFlow Hub for Transfer Learning in Neural Networks 19:21
- Python Face Detection & Recognition | Complete Project Guide 34:09
- PySpark Project: Analyze Student Data Using RDD 25:41
- PySpark Project: Analyze Student Data Using RDD Part 2 22:26
- OpenAI API Basics to Chatbot Creation: A Complete Beginner's Guide 32:23
- Sales Data Analysis Using AWS QuickSight | Dashboard Building Guide 25:01
- Selenium Web Scraping: Automate Text Translation & File Processing 21:58
- Trading Bot with Reinforcement Learning: Gym & AnyTrading in Action 32:02
- Predicting Daily Sales | Machine Learning for Revenue Forecasting 20:41
- Text Classification with TensorFlow RNN | Easy-to-Follow Example 35:59
- Deep Learning for Temperature Conversion | Celsius to Fahrenheit with TensorFlow 18:53
- Text Normalization: The First Step in NLP! (Text Preprocessing Guide) 20:17
- Scikit-Learn for Machine Learning: Complete Guide (Linear Regression, SVM & Random Forests) 27:28
- Handling Missing Values in Python: Complete Guide (Feature Engineering & Data Cleaning) 08:53
- Scrape Movie Titles from IMDB in Minutes! | Python Web Scraping Guide 19:41
- Calculator App Mini Project | ChatGPT Solution & Exception Handling Made Easy 11:28
- Q-Learning with FrozenLake in OpenAI Gym (Step-by-Step Python Tutorial) 25:48
- Types of Encoding Explained | Python Implementation & Real-World Use Cases 12:59
- Time Series Forecasting with RNN | Predicting Birthrate Using Python 22:47
- Deep Learning Essentials: One-Hot Encoding, Scaling & Splitting Data for Neural Networks 18:13
- Deep Learning Implementation | Training and Testing Neural Networks in Python 16:01
- Hands-On PySpark Project | Analyze Employees by Department and State with GroupBy & Aggregation 15:44
- PySpark Project: Advanced DataFrame Operations | Filtering, UDFs, withColumn & Writing to CSV 17:49
- Complete Web Scraping Guide Using BeautifulSoup | Python Tutorial 22:14
- Implementing Recurrent Neural Networks for Text Classification in TensorFlow 26:05
- Vocabulary Building for Sentiment Classification using RNN in NLP with Python 22:04
- Complete Pandas Tutorial for Data Science in Python | Series, DataFrames, and Cleaning Data 28:46
- Build a Machine Learning Model from Scratch in Python | Linear Regression Full Tutorial 23:45
- Machine Learning Classifier from Scratch in Python | Distance-Based Classification 15:43
- K-Means Clustering Explained & Coded from Scratch in Python 23:55
- Image Processing Basics in Python | RGB Channels Explained & Grayscale Transformation 17:26
- Python Bokeh Tutorial | Create Interactive Plots, Multiplots & Grid Layouts 17:22
- Feature Selection in Machine Learning | Filter Method & Python Implementation 25:13
- Wrapper Methods for Feature Selection in Machine Learning | Theory and Python Implementation 24:58
- Embedded Methods for Feature Selection | Machine Learning with Python Example 17:53
- Image Processing with Python | Blurring, Edge Detection & Sharpening Tutorial 16:38
- Need of Deep Learning for NLP | PyTorch Installation, Tensors & AutoGrad Tutorial 19:05
- Python Data Scraping Project: IMDb Movie Data Extraction (BeautifulSoup4) 24:23
- Neural Machine Translation in Python | Encoder Decoder Model with Attention using PyTorch 20:18
- Word Analogies in NLP: Understanding Word Relationships & Implementation in Python 16:56
- Understanding the Perceptron | DNN Foundation for Deep Reinforcement Learning (with PyTorch) 12:40
- YouTube Automation with Python | Fetch Channel & Playlist Data using YouTube API 25:38
- YouTube Channel Automation Project | Fetch Video Data & Generate Reports with Python 22:35
- Apache Spark With MongoDB | End-to-End ETL Project on Databricks (Beginner Friendly) 21:03
- Convolution in CNNs Explained | PyTorch Implementation + Animations (Full Tutorial) 25:47
- Max Pooling Explained in CNN | PyTorch Implementation Step-By-Step 15:31
- Object Oriented Programming in Python | Class, Object, Self & Encapsulation Explained 25:13
- Python OOP Explained | Inheritance, Polymorphism & Abstraction with Examples 24:38
- Python OOP Mini Project | Build a Role-Playing Game Using OOP (With ChatGPT Solution) 24:12
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