sahil-malhotra/GaaneWalaBot

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Python
Created over 7 years ago
Updated over 7 years ago

sahil-malhotra/GaaneWalaBot

sahil-malhotra

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Building a bot for chat applications like telegram, which would take user requests like name of the song, or lyrics, or latest song from their favourite artist, or any random or popular song he/she wants to hear. The bot in response would send downloaded mp3 file, lyrics(if requested), or any random popular song(maybe from billboard list)

Spam_message_detection

Exploring text message data and creating models to predict if a message is spam or not.

Jupyter Notebook

steve-jobs-tribute-page

cdc-pattern

Streaming Database Logs from Postgres

OutlierDetection

OUTLIER DETECTION IS CONTEXTUAL NOT MECHANICAL. THE OUTLIERS GENERATED HERE ARE TO BE THOUGHT OF AS POSSIBLE OUTLIER CANDIDATES, NOT REAL OUTLIERS.

Jupyter Notebook

Harvard-CS50-pset7

Competitive-Programming-List

I'll be adding codes to some of the must-practice CP problems thereby ensuring a good learning curve with lesser number of problems. I'll try to categorise them as much as possible and arrange problems in increasing order of difficulty for a particular category.

local-weather

Takes the geolocation and outputs the weather

Harvard-CS50-PSET-7

AI-Algorithms

Implementation and notebooks of some AI algorithms.

Random-Quote-Machine

sort_analysis

Plotted complexity graphs for insertion sort and merge sort.

CamelCase_HR

Camel Case means to output the no. of words or uppercase letters. The first word should start with a lower case letter.

Deep-Learning

Repo for deeplearning.ai course assignments and projects

Jupyter Notebook

TweetAnalysis

change_cs50

Amount is entered. Output is given in minimum no. of bites.

dumb

Two line pythonic code to generate random movies for playing dumb charades.

Blight-Ticket-Compliance

ML model to predict whether a given blight ticket will be paid on time.

Jupyter Notebook

mapreduce-sys

Implementation of a Distributed Map Reduce in Golang

currency_CC

Takes in some amount and give the minimum number of notes as the output.

Fraudulent-Transaction

Several models are trained and evaluated to find how effectively they predict instances of fraud transactions

Jupyter Notebook