python August 11, 2017 Adjusting for stock splits, calcuating rolling means and periodic returns Adjusting for stock splits, calcuating rolling means and periodic returns python bse scipy statistics stocks analysis stock adjust rolling means periodic returns

python July 26, 2017 Finding credit defaulters using Logistic Regression Finding credit defaulters using Logistic Regression python statsmodel data Science classification logistic regression Optimal cutoff

python March 15, 2017 Do children grow taller if they consume protein drink? Conducting hypothesis test python pandas statistics hypothesis tests

python March 15, 2017 Understanding Rossmann store sales behavior using hypothesis tests Conducting hypothesis test python pandas statistics hypothesis tests

python February 20, 2017 Analyzing daily returns of Equities in the secondary market Analyzing daily returns of Equities python bse scipy statistics daily returns stocks analysis

python November 01, 2016 Exploring German Credit Rating dataset and understanding factors influencing bad credits Visualization & statistical analysis using seaborn and scipy APIs python german credit scipy statistics seaborn hypothesis tests

python October 31, 2016 Using Decision Trees, SVM, KNN for classification Advanced techniques for classification python sklearn data Science classification decision trees svm knn

python September 15, 2016 Can we predict coronary heart disease in a person? Building a classificaiton model using python sklearn library to analyze and predict CHD python sklearn ROC sensitivity specificity Cutoff probability data Science classification

python May 25, 2016 HR Analytics: Predicting Attrition - Advanced Predictive Analytics using HR Analytics dataset in kaggle python pandas HR Analytics random forest decision tree knn

python May 25, 2016 Analyzing Mutual Funds Performances Basic Statistical Analysis using Pandas and Scipy APIs python pandas scipy data Science statistical analysis

python May 25, 2016 HR Analytics: Predicting Attrition Predictive Analytics using HR Analytics dataset in kaggle python pandas HR Analytics linear regression lasso ridge boosting random forest explortory analysis

python May 25, 2016 HR Analytics: Understanding Attrition Exploratory analysis for HR Analytics dataset in kaggle python pandas HR Analytics data Science explortory analysis

python May 25, 2016 Comparing intra-day gains on equities of different sectors Visualization statistical analysis using seaborn and scipy APIs python bse scipy statistics seaborn

python May 25, 2016 Analyzing Cars performance Visualization and Basic Statistics using Pandas and Seaborn python pandas seaborn data Science classification

python May 25, 2016 Twitter Sentiment Analysis Build a naive-bayes model to classify tweets as positive or negative sentiments python tweets naive bayes sentiment analysis

python May 25, 2016 How to scrape web content? How to scrape web content using beautifulsoup APIs? python scrape scraping web

python May 25, 2016 Predicting Sales Revenue using Machine Learning Approach Building a regression model using python sklearn library python pandas data Science machine learning regression

python May 25, 2016 Predicting Sales Revenue using Statistical Learning Approach Building a regression model using python scipy library python pandas data Science machine learning regression

python May 25, 2016 Recommending movies to users using Collaborative Filtering Making movie recommendations using movielens data python pandas data Science collaborative filtering similarity movielens

python May 25, 2016 How to read live tweets? Integrating with tweets streaming APIs python tweepy tweets

python May 25, 2016 How to read facebook posts? Integrating with facebook Graph APIs python facebook posts

python May 25, 2016 Predicting house prices in King County, Seattle Predicting house prices in King County, Seattle dataset from kaggle python pandas data Science house prices lasso ridge elastic net boosting random forest

python May 25, 2016 Exploring Titanic Dataset using pandas Analyzing datasets using pandas dataframe APIs python pandas data Science classification

python May 25, 2016 What factors influencing house prices in King County, Seattle Exploratory analysis using King County, Seattle dataset from kaggle python pandas data Science house prices exploratory analysis

python May 25, 2016 Tips for data cleaning, imputation and preparation. Steps for preparaing the data for model building python data preparation imputation data cleaning data transformation web

python May 25, 2016 Introduction to clustering Clustering using k-mean algorithm in python sklearn python pandas seaborn data Science clustering

python May 25, 2016 If you want to launch a new beer into market, what kind of beer it would be? Clustering using k-mean algorithm in python sklearn python pandas seaborn data Science clustering

python May 25, 2016 Finding optimal number of clusters How to find optimal number of clusters? python elbow silhouette clustering data Science dendogram

python May 25, 2016 Predicting if a student will get admission or not Building a classification model using python sklearn library python sklearn data Science classification

python May 21, 2016 Applying regularization to avoid overfitting Applying regularization to avoid overfitting. python bias variance overfitting ridge lasso elasticnet regularization

python May 21, 2016 Using Numpy to work with arrays Quick overview of numpy arrays and its functionalities python numpy arrays algebra

python May 21, 2016 Understanding Bias and Variance: Part 1 Understanding bias and variane and underfitting and overfitting models. python bias variance underfit overfit

python May 21, 2016 Crash Course - Python Basics Quick overview of basic python features before learning spark and data science using python python spark pyspark sklearn