data-science-1

Collection of useful data science topics along with code and articles

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

data-science-hackathon-and-competition

Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI

data-scientist-roadmap

Toturials coming with the "data science roadmap" picture.

dataanlysy

datahacksummit2019

Resources of Data Hack Summit 2019

dataprofessor

datasciencerepo

datastructure

deep-learning

deep-learning--daily

deep-learning-a-visual-approach

All of the figures and notebooks for my deep learning book, for free!

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplake

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

deeptextsearch

Deep Text Search is an AI-powered multilingual text search and recommendation engine with state-of-the-art transformer-based multilingual text embedding (50+ languages).

dsi23-capstone

General Assembly's Data Science Immersive Capstone Project

dsproblems

excel-exercises

Excel Exercises

featureselectionga

Feature Selection using Genetic Algorithm (DEAP Framework)

flower-detector-app

Detects the flower inside the image

from-0-to-research-scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

graph-data-modeling-in-pythonbook

Graph Data Modeling in Python, by Packt Publishing

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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.

in-assigment

interactive_tools

Interactive Tools for Machine Learning, Deep Learning and Math

interview-revision

iot-for-beginners

12 Weeks, 24 Lessons, IoT for All!

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

kaggledataset