Complete Guide for Data Science related Libraries with Python

This project involves creating a website that predicts Bangalore house prices using machine learning algorithm

This project utilizes Streamlit for interactive data exploration of Olympic Games data. With Pandas for data manipulation and Plotly, Matplotlib, and Seaborn for visualization, it offers insights into medal tallies, country-wise performances, athlete demographics and historical trends. Ideal for understanding Olympic history and performance pattern

Exercises on Machine Learning

Jupyter Notebooks from the "Python for Machine Learning & Data Science Masterclass" by Jose Portilla and Pierian Data Inc. Team. Includes Python basics, data manipulation, visualization, statistical analysis, and machine learning exercise notebooks

Проекты курса "Аналитик данных" (KARPOV.COURSES)

Hands-on tutorials, exercises, and projects to accompany the No Bullshit Guide to Statistics

According to the WHO, stroke is the 2nd leading cause of death. This project aimed to predict whether a patient is likely to encounter stroke based on 11 clinical input parameters, such as gender, age, hypertension, disease, Marriage status, work type, residence type, ave_glcuse level, BMI, smoking status, and history of stroke.

“A very special book on data analysis, containing 10 different projects using statistics, probability, Python, visualization, and various machine learning and deep learning models.” With a detailed explanation of them on my YouTube channel

Pistachios are nutritious nuts that are sorted based on the shape of their shell into two categories: Open mouth and Closed mouth. The open-mouth pistachios are higher in price, value, and demand than the closed-mouth pistachios. Because of these differences, it is considerable for production companies to precisely count the number of each kind.

Complete Data Science, NumPy, Pandas, Matplotlib, Seaborn, Statistics, Power Bi, Machine Learning.

A great Repo to learn Python.

Welcome to DATAPy! This repo contains my Python coding projects for data science, featuring data manipulation, analysis, and visualization. Stay tuned for updates and new content!

This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.

If you want to work with real-time data in machine learning, then you are in the right place. I have explained the code to prospective beginners and advanced-level learners.

Those with a strong interest in machine learning and data science should use this repository. I have coded step-by-step with machine learning and data science learners.

Analysis of malware signatures and their associated Common Vulnerabilities and Exposures (CVEs)

In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled dataset.