Predicting Parkinson decease using decision trees
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Updated
Jul 3, 2021 - Jupyter Notebook
Predicting Parkinson decease using decision trees
# the predictions may change according to different reasons. the predictions may change the 97% accuracy this shows may change the predictions may change
Predicting bug reassigned fields using stack traces and ensemble of multiple HMM classifiers.
Set of R codes on Data Cleaning , Analysis and Interpretation. Running Linear and Logistic Regressions and doing classification in R.
Predicting Customer Churn in Banking Industry
A data science project that predict the winner of the football matches. From 4 leagues England, France, Egypt and Tanzania Premier Leagues.
Analyizing the effect that qualitative predictors have on sales.
Predicting amount of funding the NIH awarded research grants (R01s)
the predictions may. Accuracy : 52.5% not sure the predictions may change.
☣A Hac'KP initiative where Crime profiling can be done using AI☣
Predicting the percentage of student based on the study hour using simple linear regression.
Project 3 of Term 1 in the Udacity Self Driving Car Nanodegree
In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.
Attempt to predict the expected price for the following day using Long Short Term Memory method using Keras sequential API for deep learning applications. This program determines a target and date range, trains a model using a generational neural network, then outputs both a plot and the predicted output price for the following day.
Predicting safe-incident and unsafe-incident neighborhoods, based on number of incidents like fire, gas-leaking response time and etc can be useful for consult cities and the residents to be aware of the fire department's facilities.
Heat Index Forecasting for different Regions in the Philippines
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