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Overview
Covering the full data science and machine learning pipeline, this course is designed for learners seeking in-depth knowledge and practical skills. Starting with Python programming basics, the curriculum includes data preprocessing, visualization, machine learning models, and deep learning. It uses real-world datasets to teach tools like Num Py, pandas, Matplotlib, scikit-learn, and Tensor Flow. Youâll build and evaluate classification, regression, clustering, and neural network models. By completing this course, learners gain hands-on experience with each stage of a data science...
Syllabus
- Introduction
- Installation and Colab
- Python for Data Analysis- Numpy
- Python for Data Analysis- Pandas
- Python for Data Visualization - Matplotlib
- Supervised Machine Learning
- UnSupervised Machine Learning
- Reinforcement Learning
- Feature Engineering
- Project - Customer Segmentation using Clustering
- Project - Fake News Detection using machine learning (Python)
- Project COVID-19: Coronavirus Infection Probability using machine learning
- Miscellaneous
- Python Crash Course
Instructor
Goeduhub Technologies
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