Devdatta Supnekar's Projects
A small logistic regression model will be developed in an attempt to predict whether a patient is likely (represented by 1) or not likely (represented by 0) to develop diabetes in the next 5 years.
Python code for common Machine Learning Algorithms
Market Basket Analysis is one of the key techniques used by large retailers to uncover associations between items. It works by looking for combinations of items that occur together frequently in transactions. To put it another way, it allows retailers to identify relationships between the items that people buy.
Fully functional implementations of the most popularly used machine learning algorithms, in Python.
so now we are using Naive Bayes algorithm in an attempt to predict whether a patient is likely (represented by 1) or not likely (represented by 0) to develop diabetes in the next 5 years.
NumPy is a computational library that helps in speeding up Vector Algebra operations that involve Vectors (Distance between points, Cosine Similarity) and Matrices. Specifically, it helps in constructing powerful n-dimensional arrays that works smoothly with distributed and GPU systems. It is a very handy library and extensively used in the domains of Data Analytics and Machine Learning. Other than Python, it can also be used in tandem with languages like C and Fortran. Being an Open Source Library under a liberal BSD license, it is developed and maintained publicly on GitHub.
Created a Flask application that can be used to test and deploy Object Detection Model on Images and Videos
This flask web applications extract the text data from documets photos like adhar card, pan card, driving licesnce, Bank Cheque and Others, It also detected the face present in the document and store it in the face folder
the objective is to find the the difference in length between 3 species of lizard. we have data set where all possible observations for the length of the lizard is recorded in 3 different groups ofโฆ
Python code to submit rotated images to the Cloud Vision API + R code for visualizing it
The purpose of this repository to show various Excel tasks that can be executed using Pandas library in python
Practice your pandas skills!
this project is used to train LBPH model for face recognition and haarcasde for detection
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this project is used for model builidng
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A simple R program that implements a very basic Polynomial Regression on a small data set. Because these data set don't have liner relationship between independent variable and dependent variable. so if we use the liner model then well get very High error. so in these example w'll compare both the model and select which one is best.
this project is used classification
My Python Examples
These Python programming exercises are suitable for all Python developers. If you are a beginner, you will have a better understanding of Python after solving these exercises.
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