Sukruta Prasanna Pardeshi's repositories
Starbucks-Capstone-Challenge
Starbucks Capstone Project aimed at predicting customer response to various offers and enhancing promotional app offerings for users.
Udacity-Operationalizing-an-AWS-ML-Project
Udacity MLE Nanodegree Project 4 - Operationalizing an AWS ML Project
Udacity-Image-Classification-using-AWS-SageMaker
Dog breed classification using AWS Sagemaker to finetune a pretrained model that can perform image classification. Used Sagemaker profiling, debugger, hyperparameter tuning and other good ML engineering practices to finish this project.
Udacity-Build-ML-Workflow-for-Scones-Unlimited-on-AWS-Sagemaker
ML Workflow For Scones Unlimited On Amazon SageMaker. This project is based on CIFAR 100 dataset to classify motorcycles and bicycles. Worked on Sagemaker Studio, ETL process, Model training, Model deploy and endpoint, Lambda functions, Step functions, Model loading and visualization of Model Monitor.
Campus_Recuritment_Prediction_ML_Project
This project gives prediction whether the students in the dataset are eligible for campus recruitment using various machine learning regression algorithms.
100-Days-of-Code-The-Complete-Python-Pro-Bootcamp
Master Python by building 100 projects in 100 days. Learn data science, automation, build websites, games and apps!
RFID-door-lock-system
Code for RFID door lock system using Arduino UNO
Permanent_Magnet_Temperature_Prediction_ML_Project
This project gives prediction on the permanent magnet motor temperature w.r.t. the factors affecting the electric motor using various machine learning regression algorithms.
Extracting-Text-from-Image-using-Azure-Cognitive-Services
This project Extracts Text from Images (OCR Recognition) by using the Azure Cognitive Services - Computer Vision API.
Gesture_Recognition_Using_Raspberry_Pi
In this project various gestures and standard sign languages were recognized using OpenCV and Mediapipe library of ML recognition algorithm and they were implemented on the Raspberry Pi's Raspbian OS.
Machine-Learning-Clustering_algorithms-LAB
This repository contains the Lab practices of Machine Learning performed in Jupyter Notebook using python language. This repo consists of Clustering algorithms like K-Means and Hierarchical to perform unsupervised method on the given dataset.
Machine-Learning-KNN-SVM-LAB
This repository contains the Lab practices of Machine Learning performed in Jupyter Notebook using python language. This repo consists of KNN and SVM Classification models to perform classification on the iris dataset.
Machine-Learning-Decision-Tree-LAB
This repository contains the Lab practices of Machine Learning performed in Jupyter Notebook using python language. This repo consists of Decision Tree Classifier model to classify the given data.
Machine-Learning-Linear-Regression-LAB
This repository contains the Lab practices of Machine Learning performed in Jupyter Notebook using python language. This repo consists of Simple and Multiple Linear regression models to perform regression on the given datasets.
Machine-Learning-EDA_Data-processing-LAB
This repository contains the Lab practices of Machine Learning performed in Jupyter Notebook using python language. This repo consists of EDA and the Data pre-processing methods.
nlp-in-practice
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.