shrikantpandey13

shrikantpandey13's Stars

• lyhue1991/eat_pytorch_in_20_days

  Pytorch🍊🍉 is delicious, just eat it! 😋😋

  Language:Jupyter Notebook5.4k1.2k

• deepakat002/cardekho

  Language:Jupyter Notebook13

• PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition

  Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook2k1k

• dkp1903/freesources

  Repository of free resources for learning Software Development

  382

• IlliaOvcharenko/lung-segmentation

  Lung segmentation for chest X-Ray images

  Language:Jupyter Notebook11427

• kamranahmedse/developer-roadmap

  Interactive roadmaps, guides and other educational content to help developers grow in their careers.

  Language:TypeScript299k39.3k

• mosrihari/JH_CrossSellPrediction

  Language:Jupyter Notebook74

• Vetrivel-PS/HR_Analytics_Pratise_Problem

  Your client is a large MNC and they have 9 broad verticals across the organisation. One of the problem your client is facing is around identifying the right people for promotion (only for manager position and below) and prepare them in time. Currently the process, they are following is: They first identify a set of employees based on recommendations/ past performance Selected employees go through the separate training and evaluation program for each vertical. These programs are based on the required skill of each vertical At the end of the program, based on various factors such as training performance, KPI completion (only employees with KPIs completed greater than 60% are considered) etc., employee gets promotion For above mentioned process, the final promotions are only announced after the evaluation and this leads to delay in transition to their new roles. Hence, company needs your help in identifying the eligible candidates at a particular checkpoint so that they can expedite the entire promotion cycle. They have provided multiple attributes around Employee's past and current performance along with demographics. Now, The task is to predict whether a potential promotee at checkpoint in the test set will be promoted or not after the evaluation process.

  Language:Jupyter Notebook710

• lyhue1991/eat_tensorflow2_in_30_days

  Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

  Language:Python10k2.5k

• lyhue1991/spark_tutorial

  500+ spark short code examples in jupyter notebook!

  Language:Jupyter Notebook10145

• ddangelov/Top2Vec

  Top2Vec learns jointly embedded topic, document and word vectors.

  Language:Python3k374

• Apress/hands-on-time-series-analylsis-python

  Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel

  Language:Jupyter Notebook354197

• srivatsan88/End-to-End-Time-Series

  This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK

  Language:Jupyter Notebook260202

• JaidedAI/EasyOCR

  Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

  Language:Python24.7k3.2k

• MichielStock/Teaching

  Stuff for educational purposes, mainly machine learning, Python and statistics

  Language:Jupyter Notebook9430

• LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

  Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

  Language:Jupyter Notebook1.3k300

• zedr/clean-code-python

  :bathtub: Clean Code concepts adapted for Python

  Language:Python4.5k781

• dipanjanS/transformers_nlp_essentials

  Contains slides and hands-on tutorials for understanding and implementing Transformers in Natural Language Processing. Uses the HuggingFace Transformers framework in the hands-on tutorials.

  Language:Jupyter Notebook2714

• stasi009/TakeHomeDataChallenges

  My solution to the book <A collection of Data Science Take-home Challenges>

  Language:Jupyter Notebook978522

• notanotherbrick/ApacheSparkCSE255

  Collection of iPython Notebooks and auxilary files for Big Data Analytics in pySpark.

  Language:Jupyter Notebook1

• poojakudav309/Big-Data-Mutual-Friends-Yelp-Dataset-using-pyspark-and-spark-sql

  Assignment 2 for Big Data Management and Analytics course at University of Texas at Dallas.

  Language:Python1

• Advaitiyer/big-data-analytics

  Mathematics of ML and concepts in Model Optimization, Machine Learning with PySpark, Deep Learning with CNN and MLP

  Language:Jupyter Notebook21

• cube-js/cube

  📊 Cube — Universal semantic layer platform for AI, BI, spreadsheets, and embedded analytics

  Language:Rust18k1.8k

• datameet/covid19

  Novel Corona Virus - COVID-19 India Datasets by DataMeet. Sunsetted on 2022-10-21. Will not update anymore.

  Language:HTML121110

• shakedzy/notebooks

  Some notebooks

  Language:Jupyter Notebook6455

• covid19india/covid19india-react

  Tracking the impact of COVID-19 in India

  Language:JavaScript6.9k3.4k

• renatoviolin/Bart_T5-summarization

  Summarization Task using Bart and T5 models.

  Language:HTML17145

• Jcharis/Machine-Learning-Web-Apps

  Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

  Language:Jupyter Notebook569571

• rouseguy/intro2stats

  Introduction to Statistics using Python

  Language:Jupyter Notebook902380

• ieee8023/covid-chestxray-dataset

  We are building an open database of COVID-19 cases with chest X-ray or CT images.

  Language:Jupyter Notebook3k1.3k