Machine Learning & Data Science Course

Are you ready to break into the world of Machine Learning and Data Science? Whether you're a beginner or someone looking to sharpen your ML skills, this course provides a complete, practical, and beginner-friendly introduction to machine learning using Python and essential libraries.

Course Content:

1. Introduction

• Welcome
• What is AI, ML, DL, Neural Network
• How Machine Learn
• Supervised vs Unsupervised Learning
• Real World Applications of ML

2. Getting Ready

• Environment Setup
• Basics of Python
• Jupyter Notebook
• Google Colab
• Pandas Library
• Data Preprocessing
• Statistics
• Matplotlib
• Numpy
• Scikit-Learn

3. Concepts

• ML Lifecycle
• What is a Model
• Features & Targets
• Train & Test Split
• Feature Engineering
• Label Encoding
• Categorical Encoding
• One Hot Encoding
• Feature Scaling
• Model Training
• Gradient Descent
• Epochs

4. Model Evaluation

• Hyperparameters
• Overfitting & Underfitting
• Accuracy
• Confusion Matrix
• Precision & Recall
• MSE

5. Datasets

• What are datasets
• Some popular datasets
• Scikit-learn Dataset
• kaggle
• HuggingFace
• UCI Repository
• Data from Apis
• Web Scraping

6. Supervised Learning

• Regression vs Classification
• Linear Regression Algo
• Model Save & Reload
• Logistic Regression Algo
• KNN Algo
• Decision Tree
• Random Forest
• SVM
• Gradient Boosting

7. Unsupervised Learning

• Clustering vs Association
• K-Means Clustering
• DBSCAN
• PCA (Principal Component Analysis)
• t-SNE

8. Model Deployment

• Serialization
• Model Rest API
• Deployment

9. Projects

• Project 1
• Project 2

10. Interview Questions

• Disucssion on interview questions

 

Highlights

• Total 60 videos + 2 projects will be in this course
• 3 new videos will be uploaded every Monday
• We will take approx 5 months to complete whole course
• Course already started & videos are being uploaded regularly
• No Math needed
• No prior knowledge of AI ML or Python required
• Free AI ML webinar recording included in this course
• In the last we will do interview questions for AI & ML
• No specific machine needed, all code will be run on cloud, so dont worry about machine
• Code snippets will be provided for each concept
• After completion of course if students have some doubts, I will re-record those topics in detail
• Course completion certificate will be provided
• Mobile app will be launched in one month with no extra charge from students
• Lifetime validity of the course
• Course language will be Hinglish
• One dedicated telegram community will be started soon for all course students
• Refund Policy - 90% fee will be returned within 3 days of purchage       ( No question will be asked )

 

Connect with me on my free telegram group for more guidance :  https://t.me/+QI-dh4JVrrllZGI1

 

Happy Learning !!

 

 

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