This is a set of codes that I wrote on Qiskit. Some of them are basic bit manipulations, but I will be progressively adding some advanced codes of tensor networks for holographic calculations.

Currently Rental bikes are introduced in many urban cities for the enhancement of mobility comfort. It is important to make the rental bike available and accessible to the public at the right time …

This is a short Keras tutorial that I often revisit myself.

Cliff walking is a standard undiscounted episodic task with start and goal states, and the usual actions of going UP, DOWN, LEFT or RIGHT. The reward is -1 on all transitions, except in the "cliff"…

We employ a Long Short Term Memory (LSTM) model on data pulled from coinmarketcap.com to predict cryptocurrency prices for the largest coins by total market cap.

We simulate a Blackjack environment and train a computer to play it using reinforcement learning.

Demonstration that a simple classifier like the 1-layer perceptron performs exceedingly well on simple datasets such as UCI's tic-tac-toe endgame dataset. In fact, even a multilayer perceptron is a…

We use content based recommendation systems to predict which movies are closest to the user profile

Used Quandl with Facebook's Prophet package to analyse and predict stock prices. Notebook motivation: Will Koehrsen's work.

Dataset with ~20% empty cells for numeric and categorical features. Performed XGBoost regression with best_params_ that were obtained by 4-fold cross-validated GridSearch. Training RMSE = 25667. Th…

Bike sharing systems are a means of renting bicycles where the process of obtaining membership, rental, and bike return is automated via a network of kiosk locations throughout a city. Using these …

Dataset of high-pT jets from simulations from proton-proton collisions at the Large Hadrom Collider in CERN. The aim is to do binary classification on jet-tagging, whether the jet originated from a…

We use the "People Wikipedia Data", freely available at https://www.kaggle.com/sameersmahajan/people-wikipedia-data/data. We make recommendations for the next article that is similar in spirit to t…

Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The amount of financial data on the web is seemingly endless. A…

Multiclass classification on the RNA-Seq (HiSeq) PANCAN data set, it is a random extraction of gene expressions of patients having different types of tumor: BRCA, KIRC, COAD, LUAD and PRAD.

Edge detection is a multi-step algorithm that can detect edges with noise suppressed at the same time. We smooth the image with a Gaussian filter (via convolution) to reduce noise and unwanted deta…

Brazil has the largest rainforest on the planet that is the Amazon rainforest. Forest fires are a serious problem for the preservation of the Tropical Forests. Understanding the frequency of forest…

A generic implementation of classification for the MNIST dataset using scikit-learn and pandas libraries