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David Nyerere's Projects

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-portfolio icon data-science-portfolio

Repository containing portfolio of data science projects completed by me for academic, self learning, and hobby purposes. Presented in the form of R markdown files

faker icon faker

Faker is a Python package that generates fake data for you.

first-recorded-speculative-economic-bubble icon first-recorded-speculative-economic-bubble

Market forecasting is difficult. There are many factors that may affect the market, and a high degree of uncertainty. "Tulip mania", was a period in the Dutch Golden Age during which contract prices for bulbs of the recently introduced tulip reached extraordinarily high levels and then dramatically collapsed in February 1637.

json-test- icon json-test-

This is just a JSON sample to test other stuff with

knn-using-python icon knn-using-python

You've been given a classified data set from a company! They've hidden the feature column names but have given you the data and the target classes.

linear-regression-python icon linear-regression-python

Some contract work with an Ecommerce company based in New York City that sells clothing online but they also have in-store style and clothing advice sessions. Customers come in to the store, have sessions/meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes they want. The company is trying to decide whether to focus their efforts on their mobile app experience or their website.

logistic-regression-python icon logistic-regression-python

In this project we will be working with an advertising data set, indicating whether or not a particular internet user clicked on an Advertisement. We will try to create a model that will predict whether or not they will click on an ad based off the features of that user.

my_first_webscrape icon my_first_webscrape

A web scraping script using python. I successfully scraped graphic cards information from newegg.com.

nba-shot-analysis icon nba-shot-analysis

Visualizations to better understand NBA shooting tendencies and efficiency and classification models to predict shot outcomes

nba-shot-charts icon nba-shot-charts

Code to scrape and clean shot location data and then plot shot charts for NBA players in the 2017-18 season

openapi-apps icon openapi-apps

Swagger/ OpenAPI specifications for security products and services

sea_turtle_rescue icon sea_turtle_rescue

Error Detection Challenge : The objective of this competition is to create a machine learning model to help Kenyan non-profit organization Local Ocean Conservation identify potential errors and anomalies in their sea turtle rescue database from their By-Catch Release Program.

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