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 brief introduction to Markov chain Monte Carlo methods

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

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 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.

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

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

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

Developed an Azure OpenAI-based RAG email marketing platform with a Streamlit frontend and FIASS vector database for similarity search. The platform processes multiple input formats, including CSV, PDF, text, and PPT, and incorporates product descriptions and sales data to generate creative content and matplotlib graphs based on the input data.

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

The Diwali sales analysis reviews past data to identify trends, peak buying times, popular products, and customer demographics. It assesses sales volume, revenue growth, and promotional effectiveness, helping businesses optimize marketing and inventory for future seasons.

Explore Diwali Sales Data Analysis: a project dissecting 11,251 records with 15 columns to uncover customer demographics and buying trends during the festive season. The objective? Understand customer behavior, identify key demographics and product categories driving sales. Utilizing Python libraries like Pandas, NumPy, Matplotlib, and Seaborn, thi

simple linear regression assignment

Files from the group repository were shifted to this repository. This project uses Python and its modules to perform analyze a dataset, and present them using Tableau.