Pinned Repositories
40-Algorithms-Every-Programmer-Should-Know-Python-Version
40 Algorithms Every Programmer Should Know, published by Packt
coursera-IBM-ML-with-Python-week6
Coursera_Capstone
Data-Science-Topics
A survey was conducted to gauge an audience interest in different data science topics, namely: Big Data (Spark / Hadoop) Data Analysis / Statistics Data Journalism Data Visualization Deep Learning Machine Learning The participants had three options for each topic: Very Interested, Somewhat interested, and Not interested. 2,233 respondents completed the survey. The survey results have been saved in a csv file and can be accessed through this link: https://cocl.us/datascience_survey_data.
my-flask-app-v1
my-flask-app-V1
openfoodfacts-ai
This is to track all our AI endeavours, and wishlists 🍕 🤖🍼
python-for-applied-data-science
Segmenting-and-Clustering-Neighbourhoods-in-Toronto
The repository is a part of the IBM Data Science Capstone project. The project includes the segmentation and clustering of Neighbourhoods in Toronto using K Means Machine Learning Clustering algorithm. To view the notebook, visit this website.
RadioBardak's Repositories
RadioBardak/40-Algorithms-Every-Programmer-Should-Know-Python-Version
40 Algorithms Every Programmer Should Know, published by Packt
RadioBardak/coursera-IBM-ML-with-Python-week6
RadioBardak/Coursera_Capstone
RadioBardak/Data-Science-Topics
A survey was conducted to gauge an audience interest in different data science topics, namely: Big Data (Spark / Hadoop) Data Analysis / Statistics Data Journalism Data Visualization Deep Learning Machine Learning The participants had three options for each topic: Very Interested, Somewhat interested, and Not interested. 2,233 respondents completed the survey. The survey results have been saved in a csv file and can be accessed through this link: https://cocl.us/datascience_survey_data.
RadioBardak/my-flask-app-v1
my-flask-app-V1
RadioBardak/openfoodfacts-ai
This is to track all our AI endeavours, and wishlists 🍕 🤖🍼
RadioBardak/python-for-applied-data-science
RadioBardak/Segmenting-and-Clustering-Neighbourhoods-in-Toronto
The repository is a part of the IBM Data Science Capstone project. The project includes the segmentation and clustering of Neighbourhoods in Toronto using K Means Machine Learning Clustering algorithm. To view the notebook, visit this website.
RadioBardak/testrepo1