srinath279 Goto Github PK

26weeks-of-data-science

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

adam-experiments

Experiments with Adam/AdamW/amsgrad

ai-fundamentals

Code samples for AI fundamentals

autogl

An autoML framework & toolkit for machine learning on graphs.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

awesome-mlops

A curated list of references for MLOps

best-data-science-learning-resources

My Study Collection data science courses, Article etc.

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

data

Data and code behind the articles and graphics at FiveThirtyEight

data-science

data-science-1

Collection of useful data science topics along with code and articles

data-science-interviews

Data science interview questions and answers

datapane

A gallery of Python scripts and reports #OpenAnalysis

deep-learning-1

A few notebooks about deep learning in pytorch

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

face-mask-detection

This is repository shows the end to end implementation of Face mask detection using Tensorflow Object Detection API

fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

flight-delay-prediction-using-pycaret

Here is an update in my previous project. I have used PyCaret library to select the best algorithm to predict Flight delay

free_r_tips

Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every Tuesday.

gcp-k8s

hands-on-image-generation-with-tensorflow-2.0

Hands-On Image Generation with TensorFlow 2.0, published by Packt

happymonk_programming-test

heart_annamoly

ibm-hr-analytics-employee-attrition-performance

The IBM HR Analytics Employee Attrition & Performance dataset from the Kaggle. I have first performed Exploratory Data Analysis on the data using various libraries like pandas,seaborn,matplotlib etc.. Then I have plotted used feature selection techniques like RFE to select the features. The data is then oversampled using the SMOTE technique in order to deal with the imbalanced classes. Also the data is then scaled for better performance. Lastly I have trained many ML models from the scikit-learn library for predictive modelling and compared the performance using Precision, Recall and other metrics.

inglo

backend

it-ebooks

k8s

machine-learning

Implementation of different ML Algorithms from scratch, written in Python 3.x