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Python Guide for Easy to Complex problem for Data Scientist

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

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

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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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Coursera Guided Projects 2021

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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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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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Facial Expression Recognization using JAFFE

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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

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

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

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Kubeflow installation on windows 10/11

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

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Best Collection of Articles and code for Audio Classification

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TPU use in single line in colab using tf2 package.

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PyTorch_Lightning_Tutorials

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Audio Masking Methods

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LeetCode Solution

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100 days of algorithms

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Easy way to run SRGAN Keras Tensorflow

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OpenCV2 Learning for computer vision

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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

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Image-Search-Engine

Image Search Engine with HuggingFace Sentence Transformer

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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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IBM-Quantum-Challenge-Africa-2021

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Semantic-Segmentation-Keras-Tensorflow-Example

Semantic Segmentation Example

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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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Useful-deep-Learning-Resources

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 Research Paper and Code

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Air Quality Index Predict the weather is good or bad

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ashishpatel26/Python-guide-for-Easy-to-complex-problem

ashishpatel26

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