julius-IVofVI/Denver_Crime_Analysis

Analysis of Denver crime records from January 2018- October 2023

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DhruvBavaliya13/IPL-2023-Auction-Analysis

The IPL 2023 Auction Analysis explores player bidding trends, team acquisitions, and pricing insights using Python. It involves data cleaning, exploratory data analysis (EDA), and visualization with Pandas, Matplotlib, and Seaborn.

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origami-xyz/shitcoin-sniper-bot

This sniper bot on the Solana network specializes in swiftly buying 'shitcoins' while spotting tokens poised for growth.

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Mohammed-abdulaziz-eisa/e2e_ds_StayFit

The objective is to design a machine learning model capable of accurately counting repetitions and classifying weightlifting exercises based on data collected from accelerometer and gyroscope sensors. The project began with meticulous data collection and preprocessing to ensure suitability.

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RokiyaMG/ShorsCode

9-Qubits Shor's Code for Quantum Error Correction (QEC)

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M-MSilva/Customer-Segmentation_End-to-end-Project

End-to-end project to predict and segment customers. (clustering problem)

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Dheeraj8601/DeepLeaf-CNN-Based-Precision-Agriculture-for-Automated-Potato-Leaf-Disease-Classification

DeepLeaf: CNN-based potato disease classification. Utilizes TensorFlow, Keras, and FastAPI. Frontend designed with HTML/CSS/JS. Android app (PotatoPathoGuard) developed in Android Studio. Enables precision agriculture through on-device disease detection.

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JonathanMoreno14/JonathanMoreno.github.io

Data Analysis Website

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aadithlasar/MaLe_LAB

This repository contains a collection of lab experiments for the Machine Learning course offered at MIT-ADT College. Each experiment is designed to provide hands-on experience with various machine learning concepts and techniques. The experiments are primarily conducted using Python and its popular libraries for machine learning and data analysis.

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hspfatemeh/dimensionality-Reduction

dimensionality Reduction with python- bioinformatic

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Julienlin/sinlge-cell-notebooks 📦

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roni712/python_jupyter-notebook

Working on small dataset which has 26k records.

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piygot5/Emotion_detection

This project aim to classify real time facial emotion recoginition to either of one of the universal seven emotions using Deep convolutional neural network(CNN) learning and openCv

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anologicon/tickets-forecasting-tcc

Projeto final tcc

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Piterbrito/NewYork-Times-APIs

Extract data from New York times driven data for a future research.

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