The "Advertising Impact Analysis" project aims to analyze the relationship between advertising expenditure across different channels (such as TV, radio, online) and its impact on sales or revenue.
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Updated
Apr 21, 2024 - HTML
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r2-score
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Reduce the time that cars spend on the test bench. Work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.
numpy
sklearn
pandas
data-visualization
pca-analysis
xgboost
dimensionality-reduction
xgboost-regression
r2-score
sklearn-metrics
sklearn-model
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Jan 18, 2023 - HTML
Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
machine-learning
numpy
sklearn
pandas
python3
supervised-learning
matplotlib
data-exploration
udacity-nanodegree
boston-housing-price-prediction
model-evaluation
bias-variance
k-fold
model-validation
decision-tree-regression
mlfnd
gridsearchcv
r2-score
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Updated
Oct 4, 2018 - HTML
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