Time Series Forecasting of the monthly sales with LSTM and BiLSTM
Blog
2021
2020
Tutorial on high computation Vaex package and interactive dashboards with Vaex and Dash
Dashboards are integrated elements with the analytics and insights extracted from the dataset, which extract the insightful findings from data features, produce business metrics, or track the performance of a model in production. The dashboard would provide the insights from the data extraction, and show the value for the organization.
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Collaborative Deep Learning for Recommender Systems
Recommender Systems are widely used by many companies to recommend products to the target customers. Content-based methods, collaborative filtering (CF) based methods, and hybrid methods are three main categories in the Recommender Systems. Content-based methods generate the recommendation via user profiles or product descriptions. On the other hand, CF-based methods utilize the users’ behavioral or preferences datasets, such as user ratings on items, instead of user or product content information. Hybrid methods are the combinations of content-based and CF-based methods. Collaborative deep learning (CDL), hierarchical Bayesian model, learns the deep representation for the content information and applies the collaborative filtering for the ratings (feedback) matrix. CDL model is an advanced approach with the experimentation of the real-world datasets.
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Dashboard Tutorial (II) HTML CSS PHP & Heroku Permalink
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Dashboard Tutorial (I) Flask and Chart.js Permalink
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EDA Visualization in Geopandas Matplotlib & Bokeh Permalink
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Statistical Learning (V) Unsupervised Learning Permalink
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Statistical Learning (IV) Support Vector Machine Permalink
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Statistical Learning (III) Tree-Based Method Permalink
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Statistical Learning (II) Data Sampling & Resampling Permalink
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Statistical Learning (I) Hypothesis Testing on House Price Dataset Permalink
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