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100daysofmlcode

This repository contains all the required resources regarding the 100+ Days Of ML Code Telgram Group which was driven by me from 1-1-2019 to 31-12-2019 !!

10k-mda-section

Extract the Management Discussion and Analyses (MD&A) section from 10K Financial Statements

academic-project

awesome-financial-nlp

Researches for Natural Language Processing for Financial Domain

bankruptcy-prediction-using-machine-learning-algorithms-in-python

Predicting Bankruptcy - Machine Learning Algorithms

chatgpt-prompt-engineering-deeplearning

Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.

complaint-content-classification-nlp

Natural Language Processing classification project with machine learning models developed to classify consumer complaints.

data-structure-algo

datachad_llm

Ask questions about any data source by leveraging langchains

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

datascienceproject

evaporate

This repo contains data and code for the paper "Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes"

explore-stock-prices-with-spark-sql

hackerrank-interview-preparation-kit

Solutions to the HackerRank Interview Preparation Kit.

hadooprelatedbooks

Clone of Larry3z/HadoopRelatedBooks

hello_world

ime603

Introduction to computing (JAVA)

intra-day-trading-algos

Trading algos for intraday

introduction-to-time-series-forecasting-python

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

machine-learning-andrew-ng-

This course if offered on Coursera. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

nlp_tse

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

scrubadub

Clean personally identifiable information from dirty dirty text.

youtube-autoliker

A automation script that automatically likes all youtube videos under a given channel