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a-star-algorithm

advanced-house-price-prediction

Prediction of the House Price applying Linear Regression Model

amphibians-dataset

code_snippets

create-pdf-report

Create pdf report with Python

cv

cv-resume

dbscan

DBSCAN clustering

dota2-winner-prediction

Gradient Boosting and Logistic Regression with "bag of words" techniques applied

dota2-winner-prediction-

ds-with-pysimplegui

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

eda-basketball-app

ezpada_task_requests

gen_dir

gen_dir2

generate-analytics-report

Generating Covid-19 Analytics Report PDFS with Python

heart-failure-prediction-with-bokeh-visualization

house-prices-prediction

Houses' prices prediction using Regression techniques. Used Gradient Boosting and Random Forest.

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

k336_sablona

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

metropolitan-museum

mnist

ntg

NTG - Neural Turtle Graphics for Modeling City Road Layouts (ICCV 2019)

onlinelds

Source code for the AAAI 2019 paper "On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters" (https://arxiv.org/abs/1809.05870)

oscar-movies-data

The idea is to take each movie from Wikipedia page https://en.wikipedia.org/wiki/List_of_Academy_Award-winning_films and to store each movie's table(which is under its poster). The table contains each movie's actors, directors, running time, budget, etc. Next work includes reformatting some data and getting IMDB score for each movie. Credits to https://www.youtube.com/watch?v=Ewgy-G9cmbg, where I found this task for the Disney movie dataset.

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

resume

Software developer resume in Latex

s-p-500-time-series-analysis

Exploratory Data Analysis and Prediction

silhouette-kmeans-clustering

Creating a set with use of KMeans on it and then checking the number of clusters with Silhouette coefficient