README.md

Machine Learning and Data Analysis Specialization

This repository contains demo projects and assignments I've done during the courses of coursera Machine Learning and Data Analysis Specialization.

1. Mathematics and Python for data analysis

• NumPy, Pandas, Matplotlib, SciPy
• Function Optimization
• Matrix Operations
• Variables, Distributions, Central Limit Theorem
• Cosine Similarity

2. Supervised Learning

• Linear Models
• Knn
• Naive Bayes
• Ensemble Methods
• Quality Metrics
• Overfitting

3. Searching In Data Structure

• Cluster Analysis
• Feature Selection Methods
• Visualization
• Topic Modeling

4. Stats for Data Analysis

• Statistical Tests
• Confidence Intervals
• Correlation Analysis
• Linear Regression
• Final Tasks

5. Data Analysis Applications

• Forecasting Methods
• Computer Vision
• Natural Language Processing
• Recommender Systems

6. Final Project

• Data Exploration and Processing
• Geo-data Visualization
• Complex Seasonal Forecasting
• Model Evaluation
• Model Implementation
• Model Enhancement