a-simple-guide-to-rag

This repository is the source code for examples and illustrations discussed in the book - A Simple Introduction to Retrieval Augmented Generation

amazon_reviews_nlp_capstone_project

In this repository, you will find all process of NLP from the scratch

automated-machine-learning

All AutoML Libraries

automation_team_email_reports

Repository shows the demonstration of team email reports deliverables by python automation and task scheduler. As a part of organizational process, we need to pull data from client source and get reports activities to team by mails on daily basis. This is productive, time reduction and error free process by automating whole things as per the requirements.

big-data-analysis

Explore various Spark RDD / Dataframe operations using PySpark library.

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

cowin-vaccination-slot-availability

Script to check the available slots for Covid-19 Vaccination Centers from CoWIN API in India.

customer_churn_prediction_automl

Repo consists the customer behaviors in order to select the business areas of improvements, recommendation and revenue increments factor. As per market demand, we need to analyse out customers, so that we can optimize company revenue as per customer segmentations.

data-science-interview-assignments

Real data science interview assignments

data-visualization

Data Visualization for Data Analysis with Python. 1) Matplotlib Notebook 2) Seaborn Notebook 3) Plotly Notebook

data_load_save_from_external_sources

Importing techniques and exporting techniques while working on remote base.

data_scraping_and_text_analysis

This repo contains text mining, data extraction, and text manipulation techniques, performed automation with selenium and various libraries.

deeplearning_rps_game

RPS game with prediction has been created

ds_preparatory_materials

fbprophet

feature-engg-exps

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques and used to improve the performance of machine learning algorithms. This repo contains possible feature engineering techniques as of my explorations with experiences.

frequent-itemsets-via-apriori-algorithm

Apriori is a popular algorithm for extracting frequent itemsets with applications in association rule learning. The apriori algorithm has been designed to operate on databases containing transactions, such as purchases by customers of a store.

gen-ai-starter-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

hands-on-nltk-tutorial

The hands-on NLTK tutorial for NLP in Python

hidden-layers-neurons

hyperparameter-optimization

i_predction

Poor inventory management leads to a loss in sales which in turn paints an inaccurate picture of lower demand for certain items, making future order predictions based on that past data inherently inaccurate. Instead, smart retailers use real-time data to move inventory where it’s needed before it’s too late. Additionally, they use predictive analytics to decide what to stock and where based on data

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

in_task

All the assigned task are solved under this repo iN.

jupyter-text2code

A proof-of-concept jupyter extension which converts english queries into relevant python code

k09_cpp11-14_assessments

Cpp assessment old

keras-tuner

kunalk3

Config files for my GitHub profile.

leetcode-solutions

🏋️ Python / Modern C++ Solutions of All 3204 LeetCode Problems (Weekly Update)

llm-prompting-style

This repo consists of prompting style of different widely used LLMs in the LLM space.