- Milpitas, California, USA
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recommendation-system-project
recommendation-system-project PublicIn this project, a Recommender System is built from 2 popular methods which are Content Based Filtering (Gensim and Cosine Similarity algorithms) and Collaborative Based Filtering (Alternating Leas…
Python 1
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customer_segmentation
customer_segmentation PublicDifferent unsupervised machine learning algorithms such as RFM, K-means, Spectral Clustering, GMM etc are used to classify customers into different meaningful clusters of customers.
Jupyter Notebook 1
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avocado_price_prediction
avocado_price_prediction PublicA variety of regression models (such as Random Forest, XGBoost, LightGBM) and time-series models (like Arima, Prophet, HoltWinters) are utilized to predict average price of avocados.
Jupyter Notebook
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counting_cars
counting_cars PublicCounting cars on highways in videos is conducted by using the pre-trained YOLO4 multiple object detection algorithm (which is a deep learning model) with OpenCV and the centroid tracking algorithm.
Jupyter Notebook
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TMDB_movie_analytic_project
TMDB_movie_analytic_project PublicVery detailed exploratory data analysis is executed on the dataset. Univariate and bivariate analysis using ANOVA and Chi-Squared Test between continuous and categorical variables are explored to f…
Jupyter Notebook
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airline_ontime_performance_project
airline_ontime_performance_project PublicDifferent feature selection methods like SVD, SelectKBest, RFE are used to choose best features, then different machine learning algorithms like Random Forest, Gradient Boosting Tree, XGBoost toget…
Jupyter Notebook 1
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