Language Breakdown
Lines of code distribution across 38 owned repositories
T-Shaped Developer
T-shapedDeep in Python with broad versatility
Collaboration Network
Global Impact visualization
Repos
45
PRs
0
Growth
+18%
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Coding Streak
Contribution activity over the past year
Try & Try, Try!
@khanovico
Ramazan Çetinkaya
@ramazancetinkaya
John Mwendwa
@JohnMwendwa
qpeckin
@qpeckin
Bshën
@mwarcc
Top Repositories
Going over different optimization methods for ML in Python. In particular this will go over Local Optimization (BasinHopping & Stochastic Hill Climbing), Global Optimization (Annealing, Differential Evolution, random & grid search), Gradient Descent, and the Applications of Optimization.
Example programs using the Python Keras library with TensorFlow backend to create multi-layer perception models, convolutional neural networks and recurrent neural networks
Example programs going over 4 different areas of imbalanced classification ML problems: what performance measures work best, how to sample data for these problems, cost sensitive algorithms to know and more advanced imbalanced classification techniques.
This repository will be used to host my NFL machine learning money-line model's predictions and historic data which is pulled from Google Sheets.
Program that has example code that goes over the basics of PyTorch, MLPs, model building techniques and advanced methods like CNN and LSTM.
This is my solution code for the challenge problems for Real World Python A Hacker's Guide to Solving Problems with Code by Lee Vaughan.
Worked example code setting up the data for a XGBoost model using the xgboost Python library. Then more files tuning the algorithm to get optimal performance. Simple example of running XGBoost algorithm can be found in this file, which then gets expanded on.
Worked example code taking ML datasets and cleaning the data, transforming the data, choosing the best features in the data & reducing the dimensionality.
Two files that go over the data preparation in Python and then different methods of implementing forecasts on the time series.
Open Source Impact
Contributions to external projects
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