Akash Sharma's repositories
Library-Management-System-CLI
Library management CLI based - File Handling System
Facial-Expression-Recognition
Facial expressions can inform researchers about an individual's emotional state and can be used to suggests various opinion based on it, such as suggest some good music for happy face, suggest good video to make someone happy from his sad state, observing audience emotion over specific notice, etc.
Recency-Frequency-Monetary-RFM-analysis
A dataset in csv format contains all purchase transaction data, we calculated a score based on how recently the customer purchased, how often they make purchases and how much they spend in dollars on average on each purchase.
SuperMOD-Discord-BOT
A management discord bot with mighty features like, human text language detector, message translator, covid analytics, and many more.
Tweepy-Sentiment
Tweepy sentiment application fetch some tweets from twitter using twitter api , and analyzes it using Machine Learning Model and generates a sentiment report.
Awesome-Android-Reverse-Engineering
A curated list of awesome Android Reverse Engineering training, resources, and tools.
Bank-data-clustering-KMean-Clustering-and-PCA
Using the bank credit card data we will perform Dimension Reduction and form cluster of data which has similar properties.
IBM-Data-Science-Capstone-Project
In this capstone, we have predicted if the Falcon 9 first stage will land successfully. SpaceX advertises Falcon 9 rocket launches on its website with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage. Therefore if we can determine if the first stage will land, we can determine the cost of a launch. This information can be used if an alternate company wants to bid against SpaceX for a rocket launch. In this lab, you will collect and make sure the data is in the correct format from an API. The following is an example of a successful and launch.
Deep-Learning-Squential-Model-for-Sentiment-Prediction
The aim is to build a deep learning model using LSTM which can predict the sentiment from text. It will classify whether the text has positive/negative sentiment. We will make use of tensorflow, keras library for builidng this deeplearning model.
FastAPI-CRUD
Simple crud practise with fastpi mongo
FastAPI-Recap
Fast api from scratch, easy quick guide.
github-slideshow
A robot powered training repository :robot:
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.
Masai-School-Program-Test
Masai School I-Program Admission Test-Sample
Movie-Recommendation
Content Based Movie Recommendation.
regression-project-with-advance-techniques
House Prices - Advanced Regression Techniques, Predict sales prices and practice feature engineering
scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.