Master Machine Learning with Python: Hands-On 2024
Focused View
3:04:56
1 -What is Machine Learning.mp4
05:43
2 -Types of Machine Learning.mp4
03:29
3 -Machine Learning Workflow.mp4
03:12
4 -Python Libraries for Machine Learning.mp4
03:50
5 -Hands-on Setting up Python Environment.mp4
02:26
1 -Data Cleaning.mp4
04:28
2 -Handling Missing Data.mp4
02:54
3 -Encoding Categorical Data.mp4
06:28
4 -Feature Scaling.mp4
04:48
5 -Hands-on Preprocessing Data in Python.mp4
02:58
1 -Linear Regression.mp4
05:52
2 -Logistic Regression.mp4
07:21
3 -Decision Trees.mp4
05:27
4 -Support Vector Machines.mp4
03:26
5 -Hands-on Implementing Algorithms in Python.mp4
03:00
1 -K-Means Clustering.mp4
05:20
2 -Hierarchical Clustering.mp4
05:08
3 -Principal Component Analysis (PCA).mp4
06:55
4 -Association Rule Learning.mp4
05:10
5 -Hands-on Clustering and Dimensionality Reduction in Python.mp4
02:11
1 -Cross-Validation.mp4
03:23
2 -Evaluation Metrics.mp4
03:38
3 -Hyperparameter Tuning.mp4
03:57
4 -Model Selection.mp4
04:14
5 -Hands-on Evaluating and Selecting Models in Python.mp4
03:07
1 -Introduction to Neural Networks.mp4
04:23
2 -TensorFlow Basics.mp4
05:40
3 -Building Neural Networks in TensorFlow.mp4
04:06
4 -Convolutional Neural Networks (CNN).mp4
05:59
5 -Hands-on Implementing Deep Learning Models in TensorFlow.mp4
04:50
1 -Text Preprocessing.mp4
03:23
2 -Bag of Words Model.mp4
04:18
3 -Word Embeddings.mp4
05:28
4 -Named Entity Recognition.mp4
04:55
5 -Hands-on NLP Techniques in Python.mp4
05:33
1 -Model Deployment.mp4
04:38
2 -Web Applications with Flask.mp4
10:09
3 -Scalability and Production Readiness.mp4
06:29
4 -Monitoring and Maintenance.mp4
06:40
More details
Course Overview
This comprehensive course teaches you to implement Machine Learning algorithms using Python, from data preprocessing to model deployment. Through hands-on projects with scikit-learn and TensorFlow, you'll gain practical skills for real-world applications.
What You'll Learn
- Implement ML algorithms like regression, decision trees, and neural networks
- Preprocess data and evaluate model performance effectively
- Deploy production-ready ML applications using Flask
Who This Is For
- Beginners seeking practical ML skills through projects
- Python developers expanding into data science
- Analysts applying ML techniques to real problems
Key Benefits
- No prior ML experience required - start from basics
- Hands-on projects with industry-standard tools
- Covers both traditional ML and deep learning
Curriculum Highlights
- Data preprocessing & supervised learning
- Unsupervised algorithms & model evaluation
- Deep learning with TensorFlow & NLP
Focused display
Category
- language english
- Training sessions 39
- duration 3:04:56
- Release Date 2025/06/12
