ResNet50 Transfer Learning with Grid Search Optimized Parameters for Covid-19 and Pneumonia Detection

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“If I have seen further, it is by standing on the shoulders of giants.” Isaac Newton in 1675

  1. Context & Problem
  2. ResNet overview
  3. Data Review
  4. Train Model
  5. Takeaway


A Further Dig into Business Intelligence for Customer Marketing with Improved models

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  1. Auto-encoder introduction
  2. Autoencoder modeling
  3. k-means modeling
  4. Takeaways


Business Intelligence for Marketing with k-means Clustering and PCA on Credit Card Dataset

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  1. Problem statement
  2. Data Review
  3. Data processing
  4. k-means clustering
  5. Takeaways


Creation and Evaluation of Handful of Machine Learning Models for Leave Prediction

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Explanatory Data Analysis with Insightful Visualization and Interesting Findings

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A Guideline to Make the Best Use of FB Prophet for Time Series Forecasting

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Machine Learning Models and Deep Neural Network Comparison and Sampling Techniques to Improve Performance

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  1. Business challenge
  2. Data review
  3. Data processing
  4. DNN Model building
  5. DNN Model evaluation
  6. Decision Tree
  7. Random forest
  8. Sampling
  9. Summary


Deep Dive into Common Machine Learning Models for Model Selection, Validation, and Optimization

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  1. Business challenge
  2. Data review
  3. EDA
  4. Data processing
  5. Model building
  6. Model validation
  7. Parameter tuning
  8. Takeaways


Deep Dive into Logistic Regression Modeling with Data Processing, Model Building, Validation, Feature Analysis, and Selection

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  1. Business challenge


Deep Dive into EDA with Large Dirty Raw Data using Visualization and Correlation Analysis to Improve your Hands-on Skills

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  1. Data review

Luke Sun

ML Enthusiast, Data Science, Python developer. Love to share articles about technology.

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