FIFA-2019-AnalysisThis is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations
Stars: ✭ 28 (+33.33%)
optimus🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Stars: ✭ 1,351 (+6333.33%)
R-Learning-JourneySome of the projects i made when starting to learn R for Data Science at the university
Stars: ✭ 19 (-9.52%)
MillerMiller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
Stars: ✭ 4,633 (+21961.9%)
Voicebook🗣️ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).
Stars: ✭ 236 (+1023.81%)
KlibEasy to use Python library of customized functions for cleaning and analyzing data.
Stars: ✭ 192 (+814.29%)
Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
Stars: ✭ 157 (+647.62%)
CleanlabThe standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.
Stars: ✭ 2,526 (+11928.57%)
DatamaidAn R package for data screening
Stars: ✭ 120 (+471.43%)
Pandas VideosJupyter notebook and datasets from the pandas Q&A video series
Stars: ✭ 1,716 (+8071.43%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+7119.05%)
RefinrCluster and merge similar char values: an R implementation of Open Refine clustering algorithms
Stars: ✭ 91 (+333.33%)
Bumblebee🚕 A spreadsheet-like data preparation web app that works over Optimus (pandas, dask, cuDF, dask-cuDF and PySpark)
Stars: ✭ 86 (+309.52%)
CleanFast and Easy Data Cleaning (in R)
Stars: ✭ 49 (+133.33%)
Optimus🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark
Stars: ✭ 986 (+4595.24%)
Janitorsimple tools for data cleaning in R
Stars: ✭ 981 (+4571.43%)
Drugs Recommendation Using ReviewsAnalyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Stars: ✭ 35 (+66.67%)
Data Forge TsThe JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.
Stars: ✭ 967 (+4504.76%)
BoltzmanncleanFill missing values in Pandas DataFrames using Restricted Boltzmann Machines
Stars: ✭ 23 (+9.52%)
PanderaA light-weight, flexible, and expressive pandas data validation library
Stars: ✭ 506 (+2309.52%)
NonechucksDeal with bad samples in your dataset dynamically, use Transforms as Filters, and more!
Stars: ✭ 304 (+1347.62%)
ValidateProfessional data validation for the R environment
Stars: ✭ 268 (+1176.19%)
Dirty catEncoding methods for dirty categorical variables
Stars: ✭ 259 (+1133.33%)
covid-19-data-cleanupScripts to cleanup data from https://github.com/CSSEGISandData/COVID-19
Stars: ✭ 25 (+19.05%)
nepali-translatorNeural Machine Translation on the Nepali-English language pair
Stars: ✭ 29 (+38.1%)
allie🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).
Stars: ✭ 93 (+342.86%)
foofahFoofah: programming-by-example data transformation program synthesizer
Stars: ✭ 24 (+14.29%)
bumblebee🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)
Stars: ✭ 120 (+471.43%)
errorlocateFind and replace erroneous fields in data using validation rules
Stars: ✭ 19 (-9.52%)
objectiv-analyticsPowerful product analytics for data teams, with full control over data & models.
Stars: ✭ 399 (+1800%)
exemplary-ml-pipelineExemplary, annotated machine learning pipeline for any tabular data problem.
Stars: ✭ 23 (+9.52%)