Data Science, Machine Learning & AI with Python

Master Data Science, Machine Learning, and Artificial Intelligence using Python. Build real-world AI models, predictive systems, and intelligent applications.

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What You'll Master

  • ✓ Python for Data Science (Pandas, NumPy, Matplotlib, Seaborn)
  • ✓ Advanced Data Analysis, Visualization & EDA
  • ✓ Statistics, Probability & Mathematics for AI/ML
  • ✓ Machine Learning Algorithms (Supervised & Unsupervised)
  • ✓ Deep Learning & Neural Networks
  • ✓ NLP (Natural Language Processing)
  • ✓ Computer Vision Basics
  • ✓ Model Deployment (Flask, Streamlit, API)
  • ✓ 15+ Real-World Projects + Capstone + Industry Portfolio

Course Snapshot

Duration: 8 Months (Flexible)

Level: Beginner to Advanced

Format: Live Classes + Projects

Certificate: Yes (W Tech Data Science, ML & AI Certification)

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Curriculum Overview

Python fundamentals, NumPy, Pandas, Data loading, Cleaning, Manipulation, and advanced data handling techniques.

Matplotlib, Seaborn, Plotly, Interactive dashboards, EDA techniques, Feature engineering and data storytelling.

Descriptive & Inferential Statistics, Probability, Hypothesis Testing, Linear Algebra, Calculus essentials for Machine Learning.

Supervised Learning (Regression, Classification), Decision Trees, Random Forest, SVM, Ensemble Methods, Hyperparameter Tuning, Model Evaluation.

Artificial Neural Networks, TensorFlow / Keras, CNN for Computer Vision, RNN & LSTM, Transfer Learning.

Text preprocessing, Sentiment Analysis, Named Entity Recognition, Chatbot development, Transformers & BERT basics.

Flask & Streamlit deployment, API creation, MLOps basics, Cloud deployment (Heroku/AWS), 15+ End-to-End Projects, Capstone Project & Portfolio Building.

Ready to Become a Data Scientist & AI Engineer?

High-demand skills | Real Projects | Job Assistance

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