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ashishpatel26

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

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Four Courses Specialization Tensorflow in practise Specialization

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

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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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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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14 days Beginner Practical Guide of Machine Learning

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Computer Vision Industry Use Cases

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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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Amazing Collection Vehicle Routing Problem

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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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My Study Collection data science courses, Article etc.

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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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Computer Vision Papers of the week

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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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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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How to download kaggle dataset for colab

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Ganpat STTP on Data Analytics with Python

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Lab work of IBM Quantum Machine Learning 2021

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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 with HuggingFace Sentence Transformer

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Tensorflow2 Keras Custom Data Generator

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

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Semantic Segmentation Example

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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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Sampling-Method-with-Code

Sampling Method with Code

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

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Useful-deep-Learning-Resources

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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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Anomaly or Outlier Detection Research Paper and Code

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Covid19 tweet sentimental Analysis

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ashishpatel26/Data-Cleaning-with-python

ashishpatel26

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