kaushikmanikonda Goto Github PK

18s191

Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:

advanced-quality-control_isen_614

Advanced Quality Control.

advpredictivemodeling_withpython

Jupyter Notebooks for Adv. Predictive Modeling Course

applied-analytics-in-r_stat-656

Applied Analytics using R. Machine Learning, Multivariate Analysis, Deep Learning.

astsa

R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R

basic_python_projects

Variety of projects with python. Check each Jupyter notebook for detailed descriptions.

blorr

Tools for developing binary logistic regression models

capone_creditrisk

chedcode

CS 7641 - All the code

cnn-rnf

Convolutional Neural Networks with Recurrent Neural Filters

comp_tools_6040_gatech

Course Repository for Georgia Tech's Intro to Computing for Data Analysis

computing-for-data-analysis_old

This course is a hands-on introduction to programming techniques relevant to data analysis and machine learning. Most of the programming exercises will be based on Python and SQL.

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

credit-card-approval-prediction-classification

Credit risk analysis for credit card applicants

credit_risk_analysis

In 2019, more than 19 million Americans had at least one unsecured personal loan. Personal lending is growing at an extremely fast rate, and FinTech firms need to go through an organize large amounts of data in order to optimize lending. Python will be used to evaluate several machine learning models to predict credit risk. Algorithms such as Rando

credit_risk_classification

Credit risk poses a classification problem that’s inherently imbalanced. Using a dataset of historical lending activity from a peer-to-peer lending services company, build a model that can identify the creditworthiness of borrowers.

csce-314

CSCE 314 TAMU

csce633_machine-learning

Assignments and Project for CSCE 633 course at Texas A&M University towards the completion of my masters' degree.

csce636_dl_project_wideresnets

data-analysis-using-python-ocng_669_geosciences

Python for Geosciences: Basic python, Numpy, Matplotlib, Pandas, Data analysis, Data Visualization

databases-and-big-data-tools_stat_624

Python, Parallel R, SQL, SQL Databases, No SQL Databases, Linux and Shell Scripting, Introduction to OpenMP, Compiling, Optimization, Vectorization, Data Management and GIT, Introduction MPI, Introduction to Big Data and Hadoop,

design-and-analysis-of-experiments

Lecture Notes on Design & Analysis of Experiments

design-and-analysis-of-industrial-experiments_isen_616

Designing Industrial Experiments, one-way, and two-way ANOVA analysis, Experimental design principles (Replication, Randomization, and Blocking), Parameter Estimation, Sample Variance

devnet-express-cloud-collab-code-samples

Public repo that contains code samples for the DevNet Express Cloud Collaboration tracks

devnet-express-code-samples

Archived: This repository holds code samples for DevNet Express DNA Track

devnet-express-dci-code-samples

Public repo that contains code samples for the DevNet Express Data Center Infrastructure track.

dswebinar

Data Science Webinars

german-english-machine-translator

TAMU 2019 Spring CSCE 636 Final Project

graduate-algorithms

My notes from Graduate Algorithm course

greykite

A flexible, intuitive and fast forecasting library