Ashwin jain's repositories
20-days-of-ML-challenge
Working on all different kinds of data sets and gaining insights using different machine learning algorithm. Will also try to use new and amazing libraries in my projects.
Flight_Price_Prediction
An end- to end machine learning deployed with heroku using flask app
Machine-Learning-Models
This repository consist of all the machine learning based models that have been trained with different algorithms like Linear Regression, Logistic Regression, Time series, etc.
Algorithms_for_CP
Repository consist of different kind of algorithms along with their time and space complexity analysis.
bank_customer_segmentation
This project emphasis on grouping bank customer on basis of their bank balance, loan they have taken etc. It makes use of Kmeans clustering, an unsupervised learning algorithm that further finds optimal number of clusters using Elbow methos and finally makes use of principal component analysis
Cotton-Disease-Detection
Classify Cotton Leaf Disease Images between Fresh or Diseased using Keras Inception v3.
Market-Basket-Analysis-on-Brazilian-Ecommerce-Dataset
Building a recommendation engine for the data being provided.
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.
House-cost-price-prediction
this will predict the cost price of houses with the help of linear regrerssion with the help of provided dataset
Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
Vision-Voice
Image captioning with dictation that uses InceptionV3, LSTM and Speech Synthesis Library to generate description of contents inside the image, and also dictate the content.