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Air Quality Index Predict the weather is good or bad

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

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Tools to Design or Visualize Architecture of Neural Network

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This is Andrew NG Coursera Handwritten Notes.

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Amazing-Feature-Engineering

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ResourceBank_CV_NLP_MLOPS_2022

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365-Days-Computer-Vision-Learning-Linkedin-Post

365 Days Computer Vision Learning Linkedin Post

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A curated list of applied machine learning and data science notebooks and libraries across different industries.

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Tensorflow-in-practise-Specialization

Four Courses Specialization Tensorflow in practise Specialization

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Vision-Transformer-Keras-Tensorflow-Pytorch-Examples

Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformer

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Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy

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Last Minute Note of Machine learning and Deep learning by Jason Brownlee

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List of articles related to deep learning applied to music

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satellite-Image-Semantic-Segmentation-Unet-Tensorflow-keras

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

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Tensorflow Advanced Technique Specialization

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datascienv

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

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14 days Beginner Practical Guide of Machine Learning

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Computer Vision Industry Use Cases

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Market-Basket-Analysis

Association rule mining is a technique to identify underlying relations between different items.

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This repository contains example of keras-tcn on easy way.

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Coursera Guided Projects 2021

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Yolov5-King-of-object-Detection

Yolov5 : You Look Only Once v5 Learning Resources and Collection

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Amazing Collection Vehicle Routing Problem

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Machine learning notes that make your reading easy

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Time Series Analysis of Internation Air Passengers

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ashishpatel26

Titanic-Machine-Learning-from-Disaster

Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy. Practice Skills Binary classification Python and R basics

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Awesome-Machine-learning-Deep-learning-Deployment

Awesome Machine learning Deep learning Deployment

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My Study Collection data science courses, Article etc.

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Facial Expression Recognization using JAFFE

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Awesome MLOps Course Outline

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You may think that machine learning models can only be trained with supercomputers and big data. This first course shows you how you can train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build a computer vision project that recognizes and classifies objects from a webcam. deeplearning.ai certificate : https://www.coursera.org/account/accomplishments/records/BURZEBYF8K3A

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Awesome-Pytorch-Tutorials

Awesome Pytorch Tutorials

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Data Science Cheat Sheet is help to remind code with in minute and also useful to recall the code.Collecting at one place so everyone can access easily and learn.In this we have collected all cheat sheet from the web which is contain basic learning for python and R with Machine Learning and Data Science.

Skin-Lesions-Detection-Deep-learning

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification on HAM10000 dataset largescale data.

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Here my amazing tutorial collection contain amazing notebook must read. It's contain pytorch, Advance pandas, Ensemble learning, Tensorflow, Genetic Algorithms, Dask, Word Embedding

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This is repository of Crash Course of data science at Ganpat University

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NYSE-STOCK_MARKET-ANALYSIS-USING-LSTM

Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The amount of financial data on the web is seemingly endless. A large and well structured dataset on a wide array of companies can be hard to come by. Here I provide a dataset with historical stock prices (last 5 years) for all companies currently found on the S&P 500 index.

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Kubeflow-installation-on-windows-10

Kubeflow installation on windows 10/11

Nice-object-detection-Collection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

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Computer Vision Papers of the week

Audio-Classification-Resources

Best Collection of Articles and code for Audio Classification

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PSO On neural Network and LSTM

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Tensorflow object detection api in single line

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Advanced Machine Learning and Signal Processing IBM

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Regression Metrics Calculation Made easy for tensorflow2 and scikit-learn

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TPU use in single line in colab using tf2 package.

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PyTorch_Lightning_Tutorials

Build and train Pytorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.

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End-to-End Object Detection with Transformers

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Audio-Masking-Methods

Audio Masking Methods

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LeetCode_Solution

LeetCode Solution

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The-Industrialization-of-NLP-to-Large-Language-Model-Engineering

From Research to Production: The Industrialization of NLP to Large Language Model Engineering

Rapidsai_Machine_learning_on_GPU

Rapidsai_Machine_learnring_on_GPU

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Docker-For-Python-Machine-learning

Docker For Python Machine learning

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TensorFlow installation on windows10 CUDA and cudnn

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pyMetaheuristic

A python library for the following Metaheuristics: Adaptive Random Search, Ant Lion Optimizer, Arithmetic Optimization Algorithm, Artificial Bee Colony Optimization, Artificial Fish Swarm Algorithm, Bat Algorithm, Biogeography Based Optimization, Cross-Entropy Method, Crow Search Algorithm, Cuckoo Search, Differential Evolution

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MLFlow End to End Workshop at Chandigarh University

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Cuda installation on WSL2 Ubuntu 20.04 and Windows11

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G613-Double-Typing-issue-resolved

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Easy ML and DL all repository of learning at one place

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sklearn-ranking

Sklearn-ranking is ranking algorithm used for recommendation system algorithm. RANKSVM, RANKBOOST, RANKNET is included in this package

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100-Days-of-Algorithms

100 days of algorithms

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SRGAN_Keras_Tensorflow2

Easy way to run SRGAN Keras Tensorflow

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OpenCV2_Learning

OpenCV2 Learning for computer vision

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Audio-Feature-Extraction-Frameworks

This is collection of Feature Extraction for Audio. Please Create the pull request if you find more framework like this please add.

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How to download kaggle dataset for colab

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Ganpat-STTP-on-Data-Analytics-with-Python

Ganpat STTP on Data Analytics with Python

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IBM-Quantum-Machine-Learning-2021

Lab work of IBM Quantum Machine Learning 2021

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DataAnalysisworkshop_Lady-Shri-Ram-College-For-Women-Department-of-Statistics

LADY SHRI RAM COLLEGE FOR WOMEN DEPARTMENT OF STATISTICS PRESENTED TWO DAY PYTHON FOR DATA ANALYSIS WORKSHOP Date 22-23 January, 2022

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Image-Search-Engine

Image Search Engine with HuggingFace Sentence Transformer

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Tensorflow-Keras-Custom-Data-Generator

Tensorflow2 Keras Custom Data Generator

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Best-Pytorch-Beginner-Guide

Best Beginner tutorial for All who want to be a master of pytorch.

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GenerativeAI_with_PALM

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IBM-Quantum-Challenge-Africa-2021

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Streamlit_ML_DL

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Semantic-Segmentation-Keras-Tensorflow-Example

Semantic Segmentation Example

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Python-guide-for-Easy-to-complex-problem

Python Guide for Easy to Complex problem for Data Scientist

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ashishpatelcv

My CV details

Ml-Lessons

Deep Learning for medical imaging

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Pytorch-Learning

This Pytorch Learning Series Contains Basic to Advance tutorials with Simple Explaination

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Chainlit_Tutorials

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Data-Cleaning-with-python

Data Cleaning is major part of Data Science Cycle. It will take 80% time.

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Sampling-Method-with-Code

Sampling Method with Code

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Python-for-Data-Science-101

This is step by step guide to make u master in DataScience Code

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DataStructure_For_DataScientist

This Course Notes Practise Notebook Course Link : https://www.udemy.com/course/python-data-structures-a-to-z/

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Pytorch Foundation Project with real world dataset

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Self-Supervised-Learning with Lightly for Learning Purpose

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Shapelet time Series Classification with tslearn

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Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

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Anomaly-or-Outlier-Detection

Anomaly or Outlier Detection Research Paper and Code

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Covid19 tweet sentimental Analysis

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ashishpatel26/Predictive-Maintenance-for-Air-Quality

ashishpatel26

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