WORKSHOP SERIES

*By Dr. Shahriar Hossain*

This workshop series is specifically designed for professionals who do not have the extra time to earn a data science degree but are enthusiastic about learning data science by themselves. The workshop videos provide a quick understanding of Data Science, Machine Learning, and AI concepts.

Any professional with proficiency in basic Python programming will be able to go over the materials below easily. In these videos, I explain the theories briefly and then provide practical coding examples that learners can use directly in their work.

Even though a prerequisite of this workshop series is Python programming, I believe a professional with knowledge of any programming language can follow these workshop videos and materials.

All the workshop materials (including data, codes, and videos) are as follows. The list will keep growing as I make newer videos.

## Data Science Workshop 1 (Part 1): Numpy, Pandas, scikit-learn

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## Data Science Workshop 1 (Part 2): Numpy

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## Data Science Workshop 1 (Part 3): Pandas

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## Data Science Workshop 1 (Part 4): Pandas — Continued

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## Data Science Workshop 2 (Part 1): What is Machine Learning?

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## Data Science Workshop 2 (Part 2): Machine Learning Jargon

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## Data Science Workshop 2 (Part 3): k-means Clustering: An Unsupervised Machine Learning Algorithm

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## Data Science Workshop 2 (Part 4): Data and Cluster Visualization

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## Data Science Workshop 2 (Part 5): Data and Cluster Visualization (Continued)

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## Data Science Workshop 3 (Part 1): Exploratory Data Analysis using Pandas in Python Programming

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## Data Science Workshop 3 (Part 2): Choosing the number of clusters

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## Data Science Workshop 4 (Part 1): Prediction using Linear Regression-Based Models

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## Data Science Workshop 4 (Part 2): Python Code for Linear Regression-Based Prediction

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## Data Science Workshop 4 (Part 3): (Continued) Python Code for Linear Regression

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