The Comprehensive Guide to Machine Learning on Amazon Web Services (AWS)
A tutorial to configure aws instances to do faster data computation. In this article learn how to build your first model in machine learning with aws.
Solving Data Science Case Studies 10x Faster with Dynamic Programming
This article explains using dynamic programming technique to solve business analytics case studies using structured thinking in analytics
A Complete Tutorial on Tree Based Modeling from Scratch in Python
Tutorial on tree based algorithms, which includes decision trees, random forest, ensemble methods and its implementation in R & python.
Predicting Wait Time with Queueing Theory: A Comprehensive Guide
Understand the basics of Queuing Theory with this 3-part series & learn how to predict queue lengths & waiting time.
Optimizing Call Centers with Operational Analytics: An Expert‘s Guide
This operational analytics case study is made for freshers and less experienced people in analytics to practice for interviews and new jobs
A Comprehensive Guide to Neural Networks in Python with Theano
Theano is a programming language which runs on top of Python. This article explains deep learning with theano and how implementing neural networks in python.
Gartner Business Intelligence Summit 2016: Empowering Organizations with Trusted Data and Insights
Information & Analytics Leadership: Empowering People with Trusted Data In our increasingly digital world, organizations that develop a robustly information-centric culture with the ability to recognize, manage and exploit their information assets will ultimately outpace the competition. To realize this you need to empower people to build the analytics they need to improve their line […]
Convolution Neural Network | Deep Learning Computer Vision
A tutorial for convolution neural networks to identify images. Learn about deep learning for computer vision and implement CNNs using graphlab in python.
Maximizing Efficiency and Customer Experience: A Case Study in Call Center Optimization
The is a operational analytics case study for freshers in interview which requires logical understanding, maths and skills in Excel and R
Cracking the Case Study: Analytics Interviews in the Age of Taxi Aggregators
This is a new case study for analytics and data science interviews. The case requires sound structured thinking and knowledge of mathematics
15 Must-Read Books for Data Science Entrepreneurs
This article features the 15 best books to read by founders / entrepreneurs in data science industry. They give an overview of using analytics
How XGBoost Ruled the Winning Solutions of the DYD Competition
This article reveals the winning solutions of date your data competition. Winners used R, python and boosting algorithms to get winning scores
R Packages | Impute Missing Values In R
Learn about powerful R packages like amelia, missForest, hmisc, mi and mice used for imputing missing values in R for predictive modeling in data science.
Feature Selection in R with the Boruta Package
Boruta package is a wrapper algorithm around random forest for important variables and used to perform feature selection in R for data science.
Simplilearn Big Data Hadoop Certification Course Review: An AI/ML Expert‘s Perspective
Big Data and Hadoop Certification by Simplilearn offers teaches apache spark, hadoop 2.7, mapreduce and other useful big data technologies
10 Common Questions and Issues with the ggplot2 Package in R
This is a tutorial on creating maps, scatter plots, bar plots, box plots, heat maps, area chart, correlogram using ggplot package in R
A Practical Guide to Dealing with Imbalanced Classification Problems in R
Explore the issues of imbalanced classification in R and find out how to address them to improve the performance of ML algorithms.
A Comprehensive Guide to Principal Component Analysis (PCA) in Python: Theory, Practice, and Application in Machine Learning
Understand the Principal Component Analysis (PCA) concept and its practical application in understanding and interpreting large datasets.
Deep Dive into Deep Learning: Fundamentals of Neural Networks
This article explains artificial neural networks and fundamentals of deep learning. Learn about forward and backward propagation.
Building Intelligent Recommendation Systems for Banks in 2024: An AI Expert‘s Guide
This tutorial illustrates use of recommendation engines in the banking industry with practicals done in R. It also explains types of recommendation engines.
Mastering XGBoost Parameters for Superior Model Performance
Explore XGBoost parameters and hyperparameter tuning like learning rate, depth of trees, regularization, etc. to improve model accuracy.Optimize Today!
13 Pioneering Machine Learning and Data Science Startups from Y Combinator Winter 2016
This article presents the machine learning, data science startups from Y Combinator winter batch 2016. These startups use data and analytics
Forecasting the Future with Python: A Comprehensive Guide to Time Series Modeling
Complete guide to Time series forecasting in python and R. Learn Time series forecasting by checking stationarity, dickey-fuller test and ARIMA models.
The Ultimate Learning Path to Master D3.js: From Newbie to Expert
Learning path to master d3.js which includes best resources to learn html, css, javascript to create advanced visualizations
A Deep Dive into Multinomial Ordinal Logistic Regression for Machine Learning
Learn how multinomial and ordinal logistic regression in R are used to deal with multi-level independent variables.
The Ultimate Guide to Building Better Predictive Models with Segmentation
A perfect guideline for doing optimal segmentation for model development. In this article learn about building predictive models using segmentation.
The Best Free Books to Learn Statistics and Mathematics for Data Science
Master data science & get hired at Google & Amazon. With books for data science, understand the predictive models statistically.
Split data into train and test sets
Introduction to R programming for data science. A Complete tutorial to learn r for data science that covers machine learning algorithms in data science.
The Complete Guide to Tuning Gradient Boosting (GBM) Models in Python
A guide to gradient boosting and hyperparameter tuning in gradient boosting algorithm using Python to adjust bias variance trade-off in predictive modeling.
A Data Scientist‘s Guide to Conquering the BigMart Sales Prediction Challenge
Solution to Big Mart sales problem – includes hypothesis, data exploration, feature engineering & regression, decision tree / random forest model
A Step-by-Step Guide to Using XGBoost in R for Machine Learning
XGBoost is an efficient gradient boosting framework. Say goodbye to lengthy feature engineering as XGBoost in R takes new heights!
The Ultimate Plan to Become a Data Scientist in 2024: An AI and Machine Learning Expert‘s Perspective
Here's an infographic which shows yearly plan of 2016 to become a data scientist using a structured path and focus on analytics interview tips
Top Certification Courses in Analytics and Data Science for 2024
List of top certification online courses in machine learning, big data, python, r, sas and data visualization in india.
Ridge and Lasso Regression in Python: The Complete Guide for 2023
Discover Ridge and Lasso Regression: penalizing coefficients, understanding mechanisms, comparing techniques. Apply skills with this comprehensive guide.
Mastering Python List Comprehensions: An In-Depth Guide for AI and ML Experts
Python list comprehension are 35% faster than FOR loop and 45% faster than map functionsing examples and applications in data science
The Essential Guide to Data Exploration for AI & Machine Learning
Tutorial on data exploration that comprises missing value imputation, outliers, feature engineering, variable creation in data science and machine learning
function body
This Python tutorial focuses on the basic concepts of Python for data analysis. Learn Python to expand your knowledge and skill set for data science.
10 Tricky Puzzles That Stump People in Job Interviews (And How to Solve Them)
Here are 3 tricky puzzles asked frequently in analytics job interview to evaluate a candidates mental maths, logical and aptitude skills
20 Powerful Images Perfectly Capturing the Explosive Growth of Data Science
These images depict the growth story of data science and machine learning which includes self driving cars, robots, internet of things etc