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followers: 0.0 following: 13.0 repos: 110.0 gists: 5.0

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olivier-lakoue's Projects

spark-py-notebooks

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

spark-with-python

Fundamentals of Spark with Python (using PySpark), code examples

spheres-of-influence

Orbital Metrics Calculators (with hopes of a Django app) with a Constraint-Based Model

spiceypy

SpiceyPy: a Pythonic Wrapper for the SPICE Toolkit.

sweetviz

Visualize and compare datasets, target values and associations, with one line of code.

text-cnn-tensorflow

Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow

text-search-engine

A simple text search engine in python that uses vector space model.

A classification approach to the machine learning Titanic survival challenge on Kaggle.Data visualisation, data preprocessing and different algorithms are tested and explained in form of Jupyter Notebooks

titanic-data-analysis

Data Analysis and Predictive Analysis of Algorithms on the Titanic Dataset

titanic-keras

Trained a Neural Network using Keras for the Titanic Survival Prediction Dataset found on Kaggle

titanic-machine-learning

Applying Machine Learning Algorithms to the Kaggle "Titanic Survival Prediction Problem".

titanic-neural-network

Multilayer perceptron neural network written in Python with Keras for the Kaggle beginner competition.

tomotopy

Python package of Tomoto, the Topic Modeling Tool

topic-modeling

COVID19 Topic Modeling using LDA, LDA_MALLET, LSI, HDP, NMF

towards_data_science

Repo containing code for Towards Data Science articles

two-body-problem-simulation

Simulation of the classical two-body problem in the context of the earth and artificial satellites.

weather-data-clustering-using-k-means

In this notebook, I will learn how to perform k-means lustering using scikit-learn in Python. I will use cluster analysis to generate a big picture model of the weather at a local station using a minute-graunlarity data. In this dataset, I have in the order of millions records. How do I create 12 clusters out of them? NOTE: The dataset that I will use is in a large CSV file called minute_weather.csv downloaded from: https://drive.google.com/open?id=0B8iiZ7pSaSFZb3ItQ1l4LWRMTjg

world-bank-data-by-indicators

The World Bank's 20 Featured Indicators Data, Pre-Cleaned for Exploration

yolov4-object-detection

Simple inference script for YOLOv4 using opencv.

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