This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Datascience Jupyter notebooks

Perform an exploratory data analysis using data science techniques in Python/Jupyter Notebook. Develop a ML model to detect credit card fraud

A simple population analysis written in Jupyter Notebooks

A comprehensive Chronic Kidney Detection Notebook using RandomForestClassifier, XGBoost Classifier, Logistic Regression, and Decision Tree Classifier Algorithms.

This repository contains a Python notebook to reproduce the training of a COVID-19 "fake news" classifier on Tweets. More importantly, it provides an explanation interface meant to explain the predictions of the classifier as means of Explainable AI.

This project predicts flight prices using machine learning techniques in Python. The workflow is implemented in a Jupyter Notebook and uses a cleaned dataset (`Clean_Dataset.csv`).

This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.