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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