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python_ml_ds's Introduction
Module 1 - Python Programming
- Intro to Python
- Data Structures in Python (List, Tuple, Set, Dictionary)
- Control Statements (Decision and Loops)
- Functions and Modules
Module 2 - Python for Data Science
- Numpy
- Pandas
- Missing Value Treatment
- Exploratory Data Analysis (Matplotlib, Seaborn and Plotly)
Module 3 - Machine Learning
- K - Nearest Neighbours
- Linear Regression
- Logistic Regression
- Gradient Descent
- Decision Trees
- Support Vector Machines
- K - Means
- Principal component Analysis
- Car Price Prediction (Regression)
- Airline Sentiment Analysis (NLP - Classification)
- Spam Detection (NLP - Classification)
- Adult Income Prediction (Classification)
- Web App Development + Serialization and Deserialization http://18.217.168.12:8501/
- Deployment -> Open this link to learn more http://18.217.168.12:8502/
python_ml_ds's People
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