Pinned Repositories
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
2015lab1
A-to-Z-Resources-for-Students
Curated list of resources for college students
Accuracy-and-metrics
adv-r
Advanced R programming: a book
Advanced-Regression-Methods
This repository focuses on different linear regression methods which are uncommon.
advanced-shiny
🤹 Shiny tips & tricks for improving your apps and solving common problems
aman492_projects
Data Science projects
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Sakampavankumar's Repositories
Sakampavankumar/MachineLearning
Machine learning for beginner(Data Science enthusiast)
Sakampavankumar/Immigrants-all-over-the-World
In this dataset, we will try to visualize different aspects of immigrants visiting to Canada and all over the world, I have tried to make most effective and ad-hoc visualizations to answer some of the intriguing questions. I have used Advanced Visualization Technques.
Sakampavankumar/Online-Shoppers-Purchasing-Intention
In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.
Sakampavankumar/Data-Visualization-Coursera-Assignments
This is a Repository made for Coursera Assignments, and Tutorials which includes many interesting plots such as waffle charts, folium charts, chloropeth charts etc.
Sakampavankumar/cheatsheets-1
Sakampavankumar/clinical-data-science
repo for training materials
Sakampavankumar/Drugs-Recommendation-using-Reviews
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Sakampavankumar/interpret
Fit interpretable models. Explain blackbox machine learning.
Sakampavankumar/rdoc
colourised R docs in the terminal
Sakampavankumar/tidynomicon
The Tidynomicon: A Brief Introduction to R for Python Programmers
Sakampavankumar/HarvardSpringStudent2019
For students of Harvard CSCI E-96 Spring Session 2019
Sakampavankumar/Breast-Cancer-Detection-using-Deep-Learning
Experiments to show the usage of deep learning to detect breast cancer from breast histopathology images
Sakampavankumar/practicalAI
📚 A practical approach to learning and using machine learning.
Sakampavankumar/MLInterview
:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
Sakampavankumar/vitae
R Markdown Résumés and CVs
Sakampavankumar/ODSC_TechnicalTrading
ODSC Speech "Introduction to Technical Trading"
Sakampavankumar/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
Sakampavankumar/Malaria-Detection-with-Deep-Learning
Deep learning based solution to automatically analyze medical images for malaria testing
Sakampavankumar/Parkinson-s-Disease-Classifier
Deep learning experiments to design a model to predict Parkinson's diseases with the images of Spiral/Wave test
Sakampavankumar/mljar-supervised
The Automated Machine Learning - the new standard in ML. Machine Learning for Humans.
Sakampavankumar/course-starter-r
👩🏫🇷 Starter repo for building interactive R courses
Sakampavankumar/Patients-Conversation-Detector
Contains my experiments for ZS's hiring hackathon (II).
Sakampavankumar/eht-imaging
Imaging, analysis, and simulation software for radio interferometry
Sakampavankumar/DataScienceResources
Open Source Data Science Resources.
Sakampavankumar/webinars
Code and slides for RStudio webinars
Sakampavankumar/Heart-Diseases-Analysis
In this repository you will see the exploratory data analysis on heart diseases dataset. After EDA,fitting this dataset into ANN architecture
Sakampavankumar/feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
Sakampavankumar/HackerrankPractice
170+ solutions to Hackerrank.com practice problems using Python 3 and Oracle SQL
Sakampavankumar/EDA-on-Haberman-Cancer-Survival-Dataset
Exploratory Data Analysis (EDA) is the series of asking questions and applying statistics and visualization techniques to answer those questions and to uncover the hidden insights from the data. A case study on the cancer survival data set is done to explore the most common EDA techniques in this repo
Sakampavankumar/Data-Science--Cheat-Sheet
Cheat Sheets