This article is written by Sonam Srivastava. She is one of the eminent speakers at DataHack Summit 2019, where she will be talking about …
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Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python
Overview Interpretable machine learning is a critical concept every data scientist should be aware of How can you build interpretable machine learning models? This …
This DataHack Radio episode with Christoph Molnar looks at interpretable machine learning and it’s importance.
This article covers stock prediction using ML and DL techniques like Moving Average, knn, ARIMA, prophet and LSTM with python codes.
Vector Auto Regression method for forecasting multivariate time series uses vectors to represent the relationship between variables and past values.
Facial recogniion is all the rage these days but how does it work? This article covers this question, plus contains code to implement it in Python.
Dimensionality reduction Techniques : PCA, Factor Analysis, ICA, t-SNE, Random Forest, ISOMAP, UMAP, Forward and Backward feature selection.
The task is to detect hate speech in tweets using Sentiment Analysis. In this tut, we will follow a sequence of steps needed to solve a sentiment analysis
Part 1 of this series looks at state-of-the-art pretrained models available for the field of computer vision, and how you can get started with them.
This awesome guide will teach you how to build your own custom Mask R-CNN model to detect any damage to a car! Full Python codes are included.