Syllabus

Week 1: Introduction to Data Science and Machine Learning

  • Introduction to Data Science and Machine Learning
  • Introduction to Python
  • Data Manipulation with Python

Week 2: Working on Data with Python

  • Data Cleaning and Preprocessing with Pandas
  • Exploratory Data Analysis (EDA) with Pandas
  • Data Visualization with Matplotlib

Week 3: Data analysis using Python

  • Knowing about the data
  • Final Project and Case Studies
  • Data Preprocessing and Exploration

Week 4: Introduction to maths in data science

  • Probability and Statistics
  • Statistical Analysis with Python
  • Statistical Analysis with Scipy

Week 5: Starting with Machine Learning – Supervised Learning

  • Supervised learning
  • Decision tree, Logistic regression
  • SVM

Week 6: Classification and Regression

  • Linear regression
  • Types of linear regression
  • Non-linear regression

Week 7: Unsupervised learning model

  • Types of Clustering model
  • K-means algo + Agglomerative
  • Associative rules

Week 8: Advanced models and Optimzation

  • Ensemble models
  • Hyperparameter Tuning

Week 9: Model Evalution, Optimization and Validation

  • Cross-Validation
  • Hyperparameter Tuning
  • Model Selection Method

Week 10: Introduction to Advanced Topics in Machine Learning

  • Advance models
  • Computer Vision

Week 11: Introduction to Advanced Topics in Machine Learning

  • Natural Language Processing
  • Deep Learning

Week 12: Projects

  • Case Studies and Projects
  • Deployment of model using Streamlit

Starting Date – Apr 02,2024

Pricing – ₹ 21,999

Duration – 12 weeks / 3 months

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Syllabus

Week 1: Introduction to Data Science and Machine Learning...

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