Chaitanya kanth's repositories
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
APIDeploymentOfBostonHousePrediction
Deploying Boston House Prediction as an API on AWS
PredictiveMaintainenceofMachinery
Predictive Maintainence of Machinery
Data-Science--Cheat-Sheet
Cheat Sheets
Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
deeplearning-models
A collection of various deep learning architectures, models, and tips
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
distributed-logging-efk
This gives the files to create a distributed logging framework using ElasticSearch, Fluentd and Kibana.
EmployeeOverTimePrediction
A manufacturing unit is consistently facing project over-time to finish. This is usually a sign for poor project planning or resource allocation. Now the company has decided smartly allocate the resource based on ML models. One indicator they have about project going out-of-budget is number of employees working overtime. If a good predictive model can help them predict which employees are expected to do overtime, then they can balance the resource allocation accordingly. Your job is to build a Machine Learning model which will predict whether an employee will bill overtime on a project or not. Evaluation Metric: If Accuracy>65 then give the score for Recall
ImageClassificationUsingTransferLearning
ImageClassification Using TransferLearning with PyTorch
LearnToOptimize
Reinforcement Learning as an optimizer
mslearn-dp100
Lab files for Azure Machine Learning exercises
nd0821-c2-build-model-workflow-starter
Starter Code for the Course 2 project of the Udacity ML DevOps Nanodegree Program
scikit-learn-tips
:robot::zap: Daily scikit-learn tips
text-analytics-with-python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
udacity_nanodegree
This is the repository for all the code under nanodegrees that I plan to complete