• Home
  • Course curriculum

Data Science and Machine Learning using Python

Learning AI/ML from scratch with industry expertise of deploying production ready models.

Duration: 6 months

  • - Python Basics
  • - Jupyter notebook – Installation & function
  • - Python functions, packages and routines
  • - Pandas, NumPy, Matplotlib, Seaborn
  • - Working with data structures,arrays, vectors & data frames

  • - Descriptive Statistics
  • - Inferential Statistics
  • - Probability & Conditional Probability
  • - Probability Distributions - Types of distribution – Binomial, Poisson & Normal distribution
  • - Hypothesis Testing

  • - Multiple Variable Linear regression
  • - Multiple regression
  • - Logistic regression
  • - K-NN classification
  • - Naive Bayes classifiers
  • - Support vector machines

  • - K-means clustering
  • - Hierarchical clustering
  • - High-dimensional clustering
  • - Dimension Reduction-PCA

  • - Decision Trees
  • - Random Forests
  • - Bagging
  • - Boosting

  • - Introduction to Recommendation systems
  • - Content based recommendation system
  • - Popularity based model
  • - Collaborative filtering
  • - Hybrid models

  • - Bag of Words Model
  • - TF-IDF
  • - POS Tagging
  • - Named Entity Recognition
  • - Tokenization
  • - Stop Words
  • - RNNs and its mechanisms
  • - Word Vectorizer
  • - Sentiment analysis
  • - LSTMs
₹ 40,000
(33.3% off Rs. 60,000 )
  • 6+ Projects
  • Paid Industrial Projects
  • Course Certification
  • Internship Certification
  • Placement Assistance
  • HR Support and Interview
  • Dedicated online group with mentor
  • Project mentorship with industry professionals