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Introduction to the Pandas Library
Author(s): Saiteja Kura Originally published on Towards AI. Source — Nimble Coding Before beginning, I would suggest you read my previous article on NumPy here. Although NumPy’s arrays are better than Python’s data structures several limitations hinder its usage.1. NumPy’s high dimensional …
Outlier Detection (Part 2): Multivariate
Author(s): Mishtert T Originally published on Towards AI. Analyze even better — For Better Informed Decision Mahalanobis distance U+007C Robust estimates (MCD): Example in R Original Image Seen Here In Part 1 (outlier detection: univariate), we learned how to use robust methods …
Outlier Detection (Part 1): Univariate
Author(s): Mishtert T Originally published on Towards AI. Analyze even better — For Better Informed Decision Robust Statistics: Example in R Making a Point A popular tool for outlier detection is Calculate z-score for each observation. Flag observation as an outlier if …
Mumbai vs. Delhi, What is Your Choice? Let the Data Decide!
Author(s): Sreelatha S Originally published on Towards AI. Data Science Storytelling for comparing two cities U+007C Towards AI Data analysis of various factors for two cities like food, venues to visit, etc Photo by Parth Vyas on Unsplash Mumbai and Delhi are …
Application of Synthetic Minority Over-sampling Technique (SMOTe) for Imbalanced Datasets
Author(s): Navoneel Chakrabarty Originally published on Towards AI. In Data Science, imbalanced datasets are no surprises. If the datasets intended for classification problems like Sentiment Analysis, Medical Imaging or other problems related to Discrete Predictive Analytics (for example-Flight Delay Prediction) have an …
The Machine Learning Process
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. The machine learning process includes 4 main stages: Illustrating the Machine Learning Process. Define your project goals. What do you want to find out? Do you have the data to analyze? This …
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