Login Activities EDA
#EDA #Time Series
Aggregate the login counts based on 15minute time intervals, and visualize and describe the resulting time series of login counts.
Learn more#NLP #Imbalanced data #SentiWordNet #Opinion Lexicon
We aim to find out how customers evaluate your competitors' product, namely what they like and dislike in a video game by using a Natural Language Processing (NLP).
Learn more#Time Series #Forecasting #SARIMA #Prophet #LSTM
We aim to predict future web traffic for approximately a total of 145k Wikipedia articles to make better traffic control decisions. The increase in traffic for the websites could cause a lot of inconvenience for the users by a crashed site or very slow loading time. Therefore, a traffic management technique or plan should be put in place to reduce the risk of such problems.
Learn more#Binary Classification #Supervised #Imbalanced #Logistic Regression #Random Forest #Bayes #SVM #K-Nearest Neighbors
The primary goal is to build a model that predicts outbreaks of West Nile virus in mosquitos using the given environmental conditions, such as weather, season, and location.
Learn moreCollection of old projects and parts of ML technical solutions
#EDA #Time Series
Aggregate the login counts based on 15minute time intervals, and visualize and describe the resulting time series of login counts.
Learn more#Binary Classification #Supervised #Random Forest #SHAP analysis
We aim to figure out what factors are the best prediction for riders' retention.
Learn more#Binary Classification #Supervised #Imbalanced #Random Forest #SHAP analysis
We aim to predict the adopted users using their profile and web history.
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