This repository contains the assignments and project codes created during the Big data coursework The list of assignments under each topic is as follows:

Introduction to analytics:

1.Exercise 1 - Working with time series data 2.Project – Stock forecasting

Machine learning for predictive problems:

1.homework1_winequality -- supervied learning algorithms 2.homework2_unsupervised -- unsupervised learning algorithms 3.homework3_winequality_gridsearch-part1 -- gridsearch for supervised learning algorithms 4.homework3_svc_gridsearch -- gridsearch for svc algorithm 5.homework4_pipeline -- pipeline methods 6.Homework5_Feature extraction with pre-trained networks.ipynb 7.Homework6_image segmentation with deeplab.ipynb

Visual Analytics:

1.Course project - HR_employeeAttririon_visualization.ipynb 2.IBM HR Analytics Employee Attrition (1).pdf -- project report

Machine learning for descriptive problems:

1.Harini_ML_descriptive_datamining.ipynb -- cleaning data, filling missing values using imputer methods 2.Harini_ML_Descriptive_hashing.ipynb -- text hashing 3.HariniP_ML_descriptive_surveydata-- handling raw survey data from internet 4.Harini_MLDP_bloomfilter.ipynb -- filtering live data streams with bloom filter 5.Harini_MLDP_FlajoletMartin-OneHash.ipynb -- counting distinct elements in a data stream with 1 hash function 6.Harini_MLDP_FlajoletMartin-5hashfunction.ipynb -- counting distinct elements in a data stream with 5 hash functions 7.Harini_MLDP_graphs_communties -- social graphs and finding non overlapping communities within a graph