
Python For Data Science & Machine Learning Foundations
Published 6/2026
Created by General Gichohi Kihara
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 32 Lectures ( 6h 33m ) | Size: 2.8 GB
Master NumPy, Pandas, Matplotlib, Scikit-Learn & PyTorch with real African datasets – before your first ML model.
What you’ll learn
⚡ Write clean Python for data science: comprehensions, OOP, file I/O, and *args/**kwargs
⚡ Use NumPy arrays, broadcasting, and vectorisation instead of slow Python loops
⚡ Wrangle messy real-world data using Pandas groupby, merge, and feature engineering
⚡ Produce publication-quality EDA charts with Matplotlib and Seaborn
⚡ Build production-ready Scikit-Learn pipelines that prevent data leakage
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