Pinned Repositories
Analysis-over-ConsumerEnergyData
Predicting customer churn for an energy services company
Groups_Finder
Tech:Angular2, php and myphp. Motive: To enable people to search group of their interest over whatsapp.
Hedge_Fund_Information_Extraction
This project aims to find entities from the prospects.
personalised_AI_advisor-
Twenty days and 19 years ago (10 March 2010), the dot-com bubble burst, ending the greatest market mania of recent times. The Nasdaq lost 78% of its value over the coming years. More than half of the internet companies created since 1995 astonishingly disappeared. Technology investors suffered a lengthy hangover, even today the remembered past, an old cliché, condemns highly potential investors to neglect the investment over the tech companies. Percentage of investors investing in tech companies came down from 62% in 2008-09 to 54% in 2018. As we know expectations are everything. Over the last 15 years, there has been exponential growth in social media platforms giving us the power to capture the sentiments of people which drives the market in the core. With upcoming changes of new rules in the European payment system – PSD2 and power to harness the general people opinions, we wish to propose the novel system enabled by AI, which does not only predict such bubbles but it also gives power to an individual who doesn’t have a clue about the stock price to buy shares with 76% confidence in the return of investment. Our system as a personal AI adviser will not only help in breaking the current holding of 81% of the stock market which is currently concentrated in 10% of households but it will also boost the confidence in potential investors.
phd_thesis_markdown
Template for writing a PhD thesis in Markdown
Siamese_SentenceSimilarity
Siamese for Sentence Similarity
testAipHeroku
TimeSeries-Analysis
Time series analysis is a statistical technique that deals with time series data, or trend analysis.
UnderstandingNLPFromBasicToAdvance
UnderstandingNLPFromBasicToAdvance
praveenjoshi01's Repositories
praveenjoshi01/personalised_AI_advisor-
Twenty days and 19 years ago (10 March 2010), the dot-com bubble burst, ending the greatest market mania of recent times. The Nasdaq lost 78% of its value over the coming years. More than half of the internet companies created since 1995 astonishingly disappeared. Technology investors suffered a lengthy hangover, even today the remembered past, an old cliché, condemns highly potential investors to neglect the investment over the tech companies. Percentage of investors investing in tech companies came down from 62% in 2008-09 to 54% in 2018. As we know expectations are everything. Over the last 15 years, there has been exponential growth in social media platforms giving us the power to capture the sentiments of people which drives the market in the core. With upcoming changes of new rules in the European payment system – PSD2 and power to harness the general people opinions, we wish to propose the novel system enabled by AI, which does not only predict such bubbles but it also gives power to an individual who doesn’t have a clue about the stock price to buy shares with 76% confidence in the return of investment. Our system as a personal AI adviser will not only help in breaking the current holding of 81% of the stock market which is currently concentrated in 10% of households but it will also boost the confidence in potential investors.
praveenjoshi01/Hedge_Fund_Information_Extraction
This project aims to find entities from the prospects.
praveenjoshi01/testAipHeroku
praveenjoshi01/UnderstandingNLPFromBasicToAdvance
UnderstandingNLPFromBasicToAdvance
praveenjoshi01/aim
Aim — a super-easy way to record, search and compare 1000s of ML training runs
praveenjoshi01/Applied-Deep-Learning
Applied Deep Learning Course
praveenjoshi01/awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
praveenjoshi01/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
praveenjoshi01/communities
Library for detecting and visualizing community structure in graphs
praveenjoshi01/Complete-Life-Cycle-of-a-Data-Science-Project
Complete-Life-Cycle-of-a-Data-Science-Project
praveenjoshi01/CoNT
[NeurIPS'22] CoNT: Contrastive Neural Text Generation
praveenjoshi01/Conversational_AI_Chatbot
praveenjoshi01/CyberAcademy2021
This is for the students of CyberAcademy 2021
praveenjoshi01/Data-Structures-Python
This repository contains code implementation of all the basic data structures in Python
praveenjoshi01/Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
praveenjoshi01/DeepNude-an-Image-to-Image-technology
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。
praveenjoshi01/fast-object-tracking-annotation-tool
Fast and reliable Fast Object Tracking Annotation Tool
praveenjoshi01/git_heroku_flask_service
exposing flask based web service
praveenjoshi01/InsuranceUnderwritersAI
The crux of this endeavor is to elucidate the application of supervised and unsupervised ML algorithms for prognosticating risk ratings pertinent to life insurance candidates.
praveenjoshi01/materials
Bonus materials, exercises, and example projects for our Python tutorials
praveenjoshi01/MTU-HPC-Starter
Repository for tutorials, examples and starter scripts for using the MTU HPC cluster
praveenjoshi01/river
🌊 Online machine learning in Python
praveenjoshi01/Slicenet2020_TeleStroke_POC
Development repository for TeleStroke System
praveenjoshi01/textdistance
Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
praveenjoshi01/The-Complete-FAANG-Preparation
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.
praveenjoshi01/The-NLP-Pandect
A comprehensive reference for all topics related to Natural Language Processing
praveenjoshi01/trax
Trax — Deep Learning with Clear Code and Speed
praveenjoshi01/USB-Rubber-Ducky
praveenjoshi01/vueTut
praveenjoshi01/zenml
ZenML: Bring Zen to your ML with reproducible pipelines