Library for make shared memory numpy arrays

Sparse vectors.

Statistical Digital Signal Processing and Modeling

Explore the Housing Data EDA Project, an in-depth analysis of a housing dataset. Discover trends, correlations, and factors influencing housing prices. Gain valuable insights for individuals and real estate professionals.

The "Breast Cancer Classification using Neural Networks" project focuses on predicting the presence of breast cancer using deep learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and implementing neural networks.

Plotting candlestick data in Python using Webull's API

a subclass of numpy.ndarray that does fixed-point arithmetic

PROJECT MIGRATED TO CODEBERG - Archive of Stooq Commodity Prices

This repository helps you understand python from the scratch.

The "Heart Disease Prediction" project focuses on predicting the presence of heart disease in individuals using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, and Scikit-learn (sklearn), this project provides a comprehensive solution for accurate disease prediction.

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

pyKVFinder: Python-C parallel KVFinder

A collection of NumPy tutorials.

Difference checker between two Excel files of the same content type, by selecting a column in each file that contains the same type of data.

Repository to store sample python programs for python learning

One of the key features of this web application is its virtual try-on feature, which allows users to see how different clothing items would look on them. This feature eliminates the need for users to physically try on clothes in a store, making the shopping experience more convenient and efficient.

mimiCry: Naive neural network implementations :D

The "Car Price Prediction" project focuses on predicting the prices of cars using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Lasso regression, and Linear regression, this project provides a comprehensive solution for accurate price estimation.

The "Diabetes Prediction" project focuses on predicting the likelihood of an individual having diabetes using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), and Support Vector Machines (SVM), this project offers a comprehensive solution for accurate classification.

This project focuses on predicting the approval or rejection of loan applications using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), and Seaborn, this project provides an end-to-end solution for loan status prediction.

The "Rock vs. Mine Prediction" project focuses on predicting whether an underwater object is a rock or a mine using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), and logistic regression, this project provides an end-to-end solution for accurate classification.

This repository contains an implementation of a neural network from scratch using only NumPy, a fundamental library for numerical computing in Python. The neural network is designed to perform tasks such as classification, regression, or any other supervised learning problem.

Creates a 3D visualization of any surface that has Latitude, Longitude, Elevation DTM (LAMO) parameters. Created originally to illustrate data from NASA's JMARS software.

Python Tutorial

Neural networks for binary and multiple classification from scratch (using only numpy arrays) in Python

Python script, to inject memory, CPU and URL stress

Welcome to the Python Mastery Course Repository! Discover Python's depth and power through our meticulously crafted modules. From foundational concepts to advanced techniques, master loops, functions, data analysis with Pandas, and more. Join us in this exciting journey to Python proficiency! 🐍🚀

Portfolio to track assignments for DeepLearning.ai Tensorflow Developer Professional Certificate

KMeans Clustering of data using Sklearn library, numpy and Pickle data

Video image processing computer vision to remove background and foreground for object detection and tracking in Python from scratch using only numpy arrays.