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32 search results found
Ufc Predictions
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89
A web app to predict UFC fights
Seaborn Tutorial
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76
This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
5 Python Projects
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32
5 Python Projects in: Game Development, Machine Learning, Web Development, Data Visualization, and Scripting.
Udacity Ml Nanodegree
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29
Projects for Udacity's Machine Learning Engineer Nanodegree
Dsc_springboard
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27
Repository for all the code written as part of the Springboard's Data Science Career Track
Python For Data Analytics
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26
This course will teach you only the relevant topics in Python for starting your career in Data Analytics. There are also a bunch of tips and tricks throughout for resume writing, solving case studies, interviews etc. The idea is to help you land a job in analytics and not just teach you Python.
Data Scientist Ish
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21
Lessons from my life as a Data Scientist
Mnist Adversarial Images
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14
Create adversarial images to fool a MNIST classifier in TensorFlow
Tdf Starters Rul
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12
Using a neural network with LSTMs to predict the career end of Tour de France starters between 1995 and 2019.
Mapping Career Causeways
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12
Public repository for the research outputs of the Mapping Career Causeways project
2018 Data Workshops
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12
2018 OOI Data Workshops
Student Career Area Prediction Using Machine Learning
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10
Machine Learning Project For Mindtree
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10
This is a internship project by Career Launcher.
Materials
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9
collected materials that can help with my research
Web_scraping_nba_data
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9
Using Selenium to web scrape Basketball-Reference.com
Google Job Skills
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9
Having an Exploratory Analysis at what kind of Jobs and Job Locations are provided by Google and Youtube, also we look into some specific details which are important to get hired by youtube and google.
Get_jobs_in_data_science
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8
Introduction and Career Guide for Data Science enthusiasts
Udacity Deep Learning Nanodegree
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8
The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.
Springboard
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8
Notes, Ideas, and Projects related to my Springboard data science career track
Springboard Dog_breed_classifier
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8
Capstone Project 2 for Data Science Career Track: Image Classification of Dog Breeds
Ds Assets
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8
Cs486 Career Prep
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7
University of San Francisco's CS 486 Special Topic: Career Prep
Nba_data_scraping_and_analysis
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7
NBA History & analysis of: Player of the week, Head coaches, players statistics per season
Draft Class Shooters Ml
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7
Using machine learning to predict the top shooters in the 2018 draft.
Projects
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6
A collection of all the projects built on TheCodex.Me
Epat
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6
Seattle Python 401n2
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6
Springboard_data_science
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5
Projects for springboard's data science career track program
Springboard_portfolio
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5
Portfolio repository for work done in Springboard's Data Science Career Track
Springboard
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5
Answers to springboard projects and documents/requirements
Nfl Combine Evaluation
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5
Moneyball for football
Ba888 Team3
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5
Cinema
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5
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