matlplotlib

美颜相机，具有人脸检测、磨皮美白人脸、滤镜、调节图片、摄像功能

A two-way connector to use regular Python from IronPython in Rhino/Grasshopper, and vice-versa.

Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.

Dry Natural Gas Production Prediction of the United States

a crypto bot that checks the price movement in the markets and creates buy and sell signals

A few charts with ratings and info about the top 1000 IMDB movies of all time. You will also be able to use the Definitive Movie Picker!

A brief introduction to Markov chain Monte Carlo methods

A simple Linear Regression project on a simple dataset for beginners.

a class for standardized accessible plots

This is the code repository for Mastering Machine Learning with scikit-learn - Second Edition, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

The repository shows my journey and different projects in the knowledge gained to build models in machine learning. It highlights projects and documentation in Data Science

A neural network implementation in python using matrix operations with gradient descent as backpropogation algorithm. Neural network trained with a math formula and compared with target values and Keras Model optimized by sgd (Stochastic Gradient Descent)

Analyzing local and global temperature data and comparing the temperature trends where we live to overall global temperature trends

Operations/demand analytics on 150K Uber ride bookings — hourly demand patterns, cancellation-rate diagnostics, and ops recommendations using Python (pandas, matplotlib)

🍲 Smart Bhojan: A nutrition-focused dashboard for Indian recipes. Features automated health scoring, macronutrient visualization, and downloadable PDF recipe reports. Built with Streamlit.

A machine learning system that detects forged signatures using image processing and neural networks. Analyzes geometric features to distinguish genuine from fake signatures.

Automated competitive intelligence for EV/auto startups using LLM extraction (Groq/Llama 3.3), classical ML priority classification, and grounded RAG Q&A.

A collection of my Jupyter Notebooks

predict the IPL score of the team based on the past performance.

In this example, I have show how to plot a Bar graph and Pie chart from a given CSV file using python modules like Pandas and Matplotlib