Pinned Repositories
creating-customer-segments
Apply unsupervised machine learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data
data-analyst-nanodegree
Contains project work for Udacity's Data Analyst Nanodegree from the September 2017 cohort
density-based-clustering-dbscan
Use DBSCAN to cluster a couple of datasests. Examine how changing its parameters (epsilon and min_samples) changes the resulting cluster structure.
faces-recognition-pca
Faces recognition example using eigenfaces and SVMs
finding-donors-for-charity
Apply supervised machine learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause
gmm-cluster-validation
Generate a Gaussian dataset and attempt to cluster it and see if the clustering matches the original labels of the generated dataset.
k-means-clustering-movie-ratings
Explore the similarities and differences in people's tastes in movies based on how they rate different movies. Can understanding these ratings contribute to a movie recommendation system for users? Let's dig into the data and see.
naive-bayes-sms-spam-classifier
Use the Naive Bayes algorithm to create a model that can classify dataset (https://archive.ics.uci.edu/ml/datasets/SMS+Spam+Collection) SMS messages as spam or not spam
red-wines-eda
Red Wines quality exploration using R
wrangle-analyze-weratedogs-twitter
Use Python to perform Data Wrangling (gathering, assessing, cleaning) of WeRateDogs Twitter account & archive, followed by storing, analyzing and visualizing the wrangled data.
gouravaich's Repositories
gouravaich/k-means-clustering-movie-ratings
Explore the similarities and differences in people's tastes in movies based on how they rate different movies. Can understanding these ratings contribute to a movie recommendation system for users? Let's dig into the data and see.
gouravaich/naive-bayes-sms-spam-classifier
Use the Naive Bayes algorithm to create a model that can classify dataset (https://archive.ics.uci.edu/ml/datasets/SMS+Spam+Collection) SMS messages as spam or not spam
gouravaich/wrangle-analyze-weratedogs-twitter
Use Python to perform Data Wrangling (gathering, assessing, cleaning) of WeRateDogs Twitter account & archive, followed by storing, analyzing and visualizing the wrangled data.
gouravaich/data-analyst-nanodegree
Contains project work for Udacity's Data Analyst Nanodegree from the September 2017 cohort
gouravaich/density-based-clustering-dbscan
Use DBSCAN to cluster a couple of datasests. Examine how changing its parameters (epsilon and min_samples) changes the resulting cluster structure.
gouravaich/faces-recognition-pca
Faces recognition example using eigenfaces and SVMs
gouravaich/finding-donors-for-charity
Apply supervised machine learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause
gouravaich/gmm-cluster-validation
Generate a Gaussian dataset and attempt to cluster it and see if the clustering matches the original labels of the generated dataset.
gouravaich/independent-component-analysis
Use Independent Component Analysis to retrieve original signals from three observations each of which contains a different mix of the original signals.
gouravaich/model-selection-grid-search
Improving a model with Grid Search - Use Grid Search to find better parameters for a Decision Tree model
gouravaich/creating-customer-segments
Apply unsupervised machine learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data
gouravaich/red-wines-eda
Red Wines quality exploration using R
gouravaich/data-analyst-nanodegree-lab
This repository contains Lab work for Udacity's Data Analyst Nanodegree from the September 2017 cohort
gouravaich/hierarchical-clustering
Use sklearn to conduct hierarchical clustering on the Iris dataset which contains 4 dimensions/attributes and 150 samples
gouravaich/ml-basic-nanodegree
Contains project work for Udacity's Machine Learning Basic Nanodegree from the May 2018 cohort
gouravaich/ml-basic-nanodegree-lab
This repository contains Lab work for Udacity's Machine Learning Basic Nanodegree from the May 2018 cohort.
gouravaich/my-travel-plans
gouravaich/stroop-test
Analyse the Stroop effect using descriptive statistics to provide an intuition about the data, and inferential statistics to draw a conclusion based on the results.
gouravaich/titanic-survival-exploration-decision-trees
Explore Titanic survival data by implementing a decision tree in sci-kit-learn
gouravaich/titanic-survival-tableau-story
Creating explanatory data visualization from titanic data set that communicates a clear finding or that highlights relationships or patterns in a data set.