Cleaning data using decision tree and k-nn techniques
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Updated
Feb 16, 2024 - Jupyter Notebook
Cleaning data using decision tree and k-nn techniques
This is MS Dhoni Dataset, in which I have cleaned the data file. The data has also been added with few filters to know about the performance of MS Dhoni w.r.t opponents and Ground.
exploring a database of every LEGO set ever built.
Use Python to perform Data Wrangling (Gathering, Assessing, Cleaning) of the WeRateDogs Twitter account and archive, followed by storing, analyzing and visualizing the wrangled data.
M2.951- Tipologia i cicle de vida de les dades (Pràctica 2)
Project Benson, which analyze MTA subway data to predict highest-trafficked stations in New York City, was done in collaboration with Jonathan Sterling (jasterling) and Kelly Jones (kjones5)
For MLSA Workshop
The investors and marketing team of Eniac, an e-commerce tech company, are having discrepancies as to whether it is beneficial to discount products.
This repository explores baby names data to come up with interesting insights
"Data Cleaning in R" lesson from Codecademy
find common skills requested by employers in data science
The model predicts the treatment success rate for new TB cases with high accuracy and robustness. Two different approaches: PCA and Bayesian Inference. The Bayesian regression analysis reveals that c_new_sp_tsr and new_sp_fail are significant predictors of the treatment success rate, while other predictors show less certainty in their effects.
Analytics for apps market in Google Play and App Store.
Projects done on data science in python course
Pandas kullanarak veri setlerini birleştiren ve tekrar eden verileri temizleyen en sonda da temizlenmiş bir veri seti oluşturan kod.
Docker container to parse addresses and return coordinates, checking them againts IPEA/IBGE vectorized maps of Brazil
Data Analysis Protects
PHP-CLI-MATH-TABLE: visualization for help in detect features & cleaning data process in Machine Learning before deep learning. Data engineering. Does not do calcs. Only visualize data in correct format
PREPARE FOR CERTIFICATION // 96 hours .25 Courses .6 Projects .3 Skill Assessments
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