Pinned Repositories
king_county_housing_prices_linear_regression
This repo contains EDA of 2019 King County housing data. It also contains iterations of generating linear regression models to predict home sale prices.
ANOVA_seattle-chicago-dsc
applying-gradient-descent-data-science-intro-000
applying-gradient-descent-lab-data-science-intro-000
applying-nearest-neighbors-data-science-intro-000
bagging_seattle-chicago-ds
bayesian_reasoning_seattle-chicago-ds
modeling_eq_damage
This project aims to predict building reactions to earthquakes by making a model that predicts the degree of damage that can be caused to building structures as a function of earthquakes’ intensity and the building parameters.
Tanzania
This dataset and problem, provided by Drivendata, can be found here: https://www.drivendata.org/competitions/7/pump-it-up-data-mining-the-water-table/. The aim is to identify non-functional water wells as well as to deal with the significant class imbalance issues present in the dataset.
time_series_project
This project aims to identify top regions in Chicago Metro Area for residential property investment. The project aims to build time series models using the Zillow dataset to forecast values for a 12 month period. ROI is used to identify regions for investment.
luluvalakdawala's Repositories
luluvalakdawala/modeling_eq_damage
This project aims to predict building reactions to earthquakes by making a model that predicts the degree of damage that can be caused to building structures as a function of earthquakes’ intensity and the building parameters.
luluvalakdawala/time_series_project
This project aims to identify top regions in Chicago Metro Area for residential property investment. The project aims to build time series models using the Zillow dataset to forecast values for a 12 month period. ROI is used to identify regions for investment.
luluvalakdawala/cloud-services-and-deployment-051120
luluvalakdawala/cnns_seattle-chicago-ds
luluvalakdawala/Co2_forecasting
This repo contains Time Series Modeling framework. It describes how to manipulate time series data and make one-step ahead forecasts and dynamic forecasts
luluvalakdawala/dsc-big-data-analytics-apache-spark-sea01-dtsc-ft-051120
luluvalakdawala/dsc-implementing-recommender-systems-lab-sea01-dtsc-ft-051120
luluvalakdawala/dsc-implementing-recommender-systems-sea01-dtsc-ft-051120
luluvalakdawala/dsc-introduction-to-keras-lab-sea01-dtsc-ft-051120
luluvalakdawala/dsc-k-means-clustering-sea01-dtsc-ft-051120
luluvalakdawala/dsc-machine-learning-with-spark-sea01-dtsc-ft-051120
luluvalakdawala/dsc-market-segmentation-clustering-lab-sea01-dtsc-ft-051120
luluvalakdawala/dsc-matrix-factorization-als-sea01-dtsc-ft-051120
luluvalakdawala/dsc-object-oriented-attributes-with-functions-lab-sea01-dtsc-ft-051120
luluvalakdawala/dsc-parallel-and-distributed-computing-with-mapreduce-sea01-dtsc-ft-051120
luluvalakdawala/dsc-postgrad-repo-org-exercises
luluvalakdawala/dsc-resilient-distributed-datasets-rdd-lab-sea01-dtsc-ft-051120
luluvalakdawala/dtsc-chi-warmup-image-generator
luluvalakdawala/dtsc-chi-warmup-joke-recommender
luluvalakdawala/dtsc-chi-warmup-neural-network
luluvalakdawala/dtsc-chi-warmup-web-scraping
luluvalakdawala/keras_and_tensorflow-chi-sea-dsc
luluvalakdawala/mod_4_project-chi-sea
luluvalakdawala/neural_networks_p1-chi-sea-dsc
luluvalakdawala/NLP_for_tweet_sentiments
luluvalakdawala/Python-Practice
luluvalakdawala/recommendation_systems_seattle-chicago-ds
luluvalakdawala/sql_basics
luluvalakdawala/transfer_learning_seattle-chicago-ds
luluvalakdawala/trial_run