Mathew K AnalyticsData Science Projects
A free 33-lesson course. Every lesson has a video walkthrough and a Jupyter notebook you can download or open in Google Colab. Tools covered: NumPy, Matplotlib, pandas, scikit-learn, seaborn, Requests.
19 minLesson 2
How to Scrape and Analyze Movie Reviews Using Python and Data Science Techniques
16 minLesson 3
Biblical Principles in Data Analysis: Scraping and Analyzing Product Prices with Python
19 minLesson 4
Building a News Data Scraping and Analysis Project Using Python
16 minLesson 5
Web Scraping and Visualization Techniques for Real Estate Data Analysis
14 minLesson 6
How to Extract YouTube Channel Video Data Using Python and YouTube Data API
21 minLesson 10
Comprehensive Airbnb Data Analysis Using Python for Biblical Stewardship Insights
18 minLesson 11
Comprehensive Analysis and Visualization of Global Covid-19 Data Using Python
22 minLesson 15
Analyzing and Predicting Iris Flower Species Using Data Science Techniques
23 minLesson 17
Building a Car Price Prediction Model Using Python and Data Science Techniques
20 minLesson 20
Analyzing Uber Trips Data: A Step-by-Step Guide to Data Science Techniques
18 minLesson 26
Predicting Wine Quality with Machine Learning: A Step-by-Step Guide Using Python
25 minLesson 27
Building Accurate Disease Prediction Models with Machine Learning: A Step-by-Step Guide
23 minLesson 29
Predicting Heart Disease with Logistic Regression: A Step-by-Step Python Guide
15 minLesson 30
Building a House Price Prediction Model with Python: Data Science and Machine Learning
17 minLesson 31
Applying Linear Regression to the Boston Housing Dataset: A Step-by-Step Guide
24 minLesson 33
Classifying Cancer Cells with Scikit-learn: A Step-by-Step Guide for Beginners
24 minLesson 35
Predicting Box Office Revenue with Linear Regression: A Step-by-Step Guide
27 minLesson 36
Online Payment Fraud Detection Using Machine Learning in Python | Data Science Project
24 minLesson 38
Building and Training Handwritten Digit Recognition Models with Scikit Learn
26 minLesson 40
Building a Credit Card Fraud Detection System with Machine Learning Techniques
20 minLesson 41
Building a Recommendation System in Python: A Step-by-Step Guide for Beginners
21 minLesson 44
Anomaly Detection in Time Series Data: Techniques and Practical Applications
23 minLesson 49
Deep Learning for Wine Type Classification: Step-by-Step Model Training Guide
22 minLesson 51
Building a Neural Network for Handwritten Digit Recognition: A Step-by-Step Guide
24 minLesson 53
Logistic Regression for Handwritten Digit Recognition Using PyTorch: Step-by-Step Tutorial
17 minLesson 56
How to Count Objects in Images Using Python and OpenCV: A Step-by-Step Guide
15 minLesson 68
Building an Interactive Retail Sales Dashboard with Plotly and Streamlit in Python
20 minLesson 69
Building a COVID-19 Data Tracker with API Integration and Time-Series Visualization in Python
17 minLesson 73
Customer Churn Prediction: Step-by-Step Classification Models in Python
13 minLesson 76
4 - Loan Default Prediction - Risk Modeling
19 minLesson 77
Predicting House Prices with Regression Using the Ames Housing Dataset
17 minLesson 79
Applying Binary Classification for Accurate Diabetes Prediction in Healthcare
15 minLesson 83