This repository consists of the dataset and Jupyter notebook for my medium article entitled: "A Practical Guide To Logistic Regression in Python for Beginners"

Using Supervised Machine Learning Techniques for Chronic Kidney Disease Detection

Data pipeline, CNN and hyper-parameter optimisation on Fashion MNIST dataset using Tensor flow Keras.

Implement and train a machine-learning based Security Intrusion Detection model using Python.

Exploratory Data Analysis, Data Visualisation & Text Analysis using Pandas, NumPy, Matplotlib and nltk libraries.

Exploratory data analysis, Machine Learning & hyper-parameter tuning using PySpark.