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advertools

advertools - online marketing productivity and analysis tools

ann_churnmodelling

ANNs are Machine Learning models that try to mimic the functioning of the human brain, whose structure is built from a large number of neurons connected in between them. Churn Modelling is one of the biggest issue in many organizations and analyzing this data for important insights is one of the most crucial aspect.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

brainapp

An android app to educate kids to learn abacus and simple math using features like multiple players and interactive for kids with colors and music. I have shared as much as I can as a part of the project. Cannot share the entire application as it is owned by a private company.

cs-513-kdd

cs513spring20_dataminers

data-scientist-roadmap

Toturial coming with "data science roadmap" graphe.

dishtid.github.io

examples

TensorFlow examples

githubgraduation-2021

Join the GitHub Graduation Yearbook and "walk the stage" on June 5.

google_stock_price

A recurrent neural network (RNN) is a class of artificial neural networks where connections between nodes form a directed graph along a temporal sequence. This allows it to exhibit temporal dynamic behavior. LSTMs are a special kind of RNN, capable of learning long-term dependencies which make RNN smart at remembering things that have happened in the past and finding patterns across time to make its next guesses make sense.

natural-language-prcoessing-nlp

principal-component-analysis

The main idea of principal component analysis (PCA) is to reduce the dimensionality of a data set consisting of many variables correlated with each other, either heavily or lightly, while retaining the variation present in the dataset, up to the maximum extent. The same is done by transforming the variables to a new set of variables, which are known as the principal components and are orthogonal, ordered such that the retention of variation present in the original variables decreases as we move down in the order. So, in this way, the 1st principal component retains maximum variation that was present in the original components.

social_network_ads

Logistic regression is a kind of statistical analysis that is used to predict the outcome of a dependent variable based on prior observations. Applied Logistic regression to predict the result on social media ads and visualized the data set using matplotlib.

support_vector_machine

A support vector machine (SVM) is machine learning algorithm that analyzes data for classification and regression analysis. SVM is a supervised learning method that looks at data and sorts it into one of two categories. An SVM outputs a map of the sorted data with the margins between the two as far apart as possible.

twitter-analysis-dishti