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Christopher Salim's Projects

all-programming-e-books-pdf icon all-programming-e-books-pdf

A Curated List Of Programming Books For C, C++ , Python, JavaScript, NodeJs, ReactJs, Web, JQuery, Flask, Dom, Angular, CSS, HTML for beginners, intermediate, advanced and experts

arima-dengue-fever icon arima-dengue-fever

This Autoregressive Integrated Moving Average (ARIMA) forecasting method is used to predict the amount of keywords related to dengue fever within 2014 to 2019.

cracking-the-coding-interview icon cracking-the-coding-interview

Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop techniques to unstick yourself when stuck, learn (or re-learn) core computer science concepts, and practice on 189 interview questions and solutions.

crashcoursepython_google icon crashcoursepython_google

This is a final project that I worked on as a requirement to finish Crash Course Python by Google course on Coursera. The code generates word cloud from the input text.

deeplearningkeras icon deeplearningkeras

This is a repository containing my Jupyter Notebook files about deep learning on Keras. Skills learned: basic model training, evaluation, and prediction.

eri-sakura-report icon eri-sakura-report

This repository is intended to store my summer internship project report that I have done in The University of Tokyo.

football_analytics icon football_analytics

⚽📊 A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

markdown-here icon markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

ml-for-well-log-data icon ml-for-well-log-data

In this notebook I used Naive Bayes, Random Forest, KNN, SVM, and Decision Tree to classify rock types in the oil well based on well log data.

mlibm_coursera icon mlibm_coursera

This is a notebook that shows my work to finish my final project in Machine Learning with Python

nn-for-time-series-dengue-data icon nn-for-time-series-dengue-data

This is a Python code for constructing a MLP regression for time series data. Then this network is applied to the dengue fever trend data obtained from Google Trends. Overall, the network can predict the general trend of the data. However, it can still be improved by adding more data for the network.

progate icon progate

This is a repository for storing and sharing data resulting from working on projects and materials in Progate

pymeqcnn icon pymeqcnn

An automatic picking program for earthquake data, mostly modified from Ross et al. (2018). I have tried to apply it to microseismic data. Let's make this work better by sharing your idea and contributing to this program development. Kindly contact me on [email protected] for any enquiries or collaboration opportunities.

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