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algotaught-

EDA/Black Friday

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

black-friday

datascience_artificialintelligence_utils

Examples of Data Science projects and Artificial Intelligence use cases

deconvolut---deep-learning

deep-learning-with-h20

Digit identification using Neural network

digit-recognition-using-tensorflow-and-cnn

we will implement a simple Convolutional Neural Network in TensorFlow which has a classification accuracy of about 99%. Convolutional Networks work by moving small filters across the input image. This means the filters are re-used for recognizing patterns throughout the entire input image. This makes the Convolutional Networks much more powerful than Fully-Connected networks with the same number of variables. This in turn makes the Convolutional Networks faster to train.

gitdemo

it-bodhi

kaggle-sea-lions-solution

NOAA Fisheries Steller Sea Lion Population Count

knn-classification-knn-regression-cpart-c5.0-ctree-rpart

Advanced Classification Techniques

loan_predicytion

Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have given a problem to identify the customers segments, those are eligible for loan amount so that they can specifically target these customers. Here they have provided a partial data set.

mercedez-benz-greener-manufacturing

In this competition, Daimler is challenging Kagglers to tackle the curse of dimensionality and reduce the time that cars spend on the test bench. Competitors will work with a dataset representing different permutations of Mercedes-Benz car features to predict the time it takes to pass testing. Winning algorithms will contribute to speedier testing, resulting in lower carbon dioxide emissions without reducing Daimler’s standards.

python_fundamentals

recommendation-using-recommendation-lab

Comparision of Algorithms in Recommendation Like ALS, UBCF, IBCF, SGD,KNN

regularisation-techniques

Regularisation with Lasso ,Ridge and Elastic Net

sberbank-russian-housing-market

In this competition, Sberbank is challenging Kagglers to develop algorithms which use a broad spectrum of features to predict realty prices. Competitors will rely on a rich dataset that includes housing data and macroeconomic patterns. An accurate forecasting model will allow Sberbank to provide more certainty to their customers in an uncertain economy.

sentiment-analysis

Sentiment Analysis on Whatsapp Chat

simple-linear-model-using-tensorflow

Digit identification using Tensorflow