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Name: Ayushi Jain
Type: User
Bio: Data Analyst | Data Science | Machine Learning | Statistics | Python | SQL | Data Visualization | PowerBI | Tablaue
Twitter: ayushijainn
Name: Ayushi Jain
Type: User
Bio: Data Analyst | Data Science | Machine Learning | Statistics | Python | SQL | Data Visualization | PowerBI | Tablaue
Twitter: ayushijainn
Performed outlier correction using standard box plot method ,then attempted univariate analysis & birative analysis. Checked accuracy using Logic Regression, Decision tree & Random Forest.
Checked some statistical value like mean, standard deviations & average. Then made visualizations using seaborn, matplotlib, sns.replot & sns.pairplot.
Handled imbalanced dataset by using sampling method.
Performed EDA then splited the data into train & validation set . Then predicted the demand of the car using sklearn & prophet libraries.
Used Inferential Statistics, Normal Deviate Z Test & One Sample T-Test in this model.
Performed feature selection using heatmap, feature-importance & select k-boost. Then fitted the data using random forest and did hyperparameter tuning.
I have made a portfolio using Html, Css , Gasp and animations.
I've extracted 6 features for each TED Talk which you can find in this. It includes EDA, Data Analysis, Tabular Data and Python.
In this I have done following projects : Task1-supervised learning , Task2-unsupervised learning(iris dataset), Task3- EDA.
Performed EDA , categorial data, splited the data into train & test set using dependent & independent values & built classification model using DECISION TREE CLASSIFIER.
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