This section contains Research and Development projects in Machine Learning and Deep Learning that require original developments. They call on our expertise in Digital Signal Processing, Optimization, Calculus, Linear Algebra.
![](https://github.com/DrStef/Deep-Learning-and-Digital-Signal-Processing-for-Environmental-Sound-Classification/raw/main/MelSpectrogram.png)
"ESC: Dataset for Environmental Sound Classification." by Karol J. Piczak. 2015. In Proceedings of the 23rd ACM international conference on Multimedia (MM '15). Association for Computing Machinery, New York, NY, USA, 1015–1018. https://doi.org/10.1145/2733373.2806390"
Convolutional Neural Networks (CNN) achieves accuracy close to 99%, with custom pre-processing and a fusion mel-spectrograms + complex wavelet transforms.
![](https://github.com/DrStef/Machine-Learning-and-Digital-Signal-Processing-for-Genome-Classification/raw/main/LOG_REG_Fungi_ConfusionMatrix.png)
"ML-DSP: Machine Learning with Digital Signal Processing for ultrafast, accurate, and scalable genome classification at all taxonomic levels" by Gurjit S. Randhawa , Kathleen A. Hill and Lila Kari. https://doi.org/10.1186/s12864-019-5571-y
Their alignement free DNA sequence classification approach: ML-DSP is very effective. By introducing a simple alignment technique and short FFTs: ML-FFT + SoftAlign, we outperform ML-DSP with difficult datasets: Fungi, Insects.
This section is a portfolio of Machine Learning projects with Python and various visualization and analysis tools. Most of these projects were carried out within the framework of IBM certifications. They are presented with Jupyter Notebooks.
Some projects have been improved by incorporating more in-depth data analysis, better graphs, advanced ML techniques.
![](https://github.com/DrStef/Applied_Data_Science_Capstone_SpaceX_IBM/raw/main/spacex-MEW1f-yu2KI-unsplash.jpg)
![](https://github.com/DrStef/Machine_Learning_with_Python-IBM/raw/main/density_based_clustering_weather_001.png)
![](https://github.com/DrStef/House_Sales_in_King_County_USA_IBM/raw/main/Project_House_Sales_in_King_County_USA_v003_LTX/output_60_0.png)
One Jupyter Notebook includes interactive Folium maps (interactive maps will not display on Github).
![](https://github.com/DrStef/Statistics-for-Data-Science-with-Python/raw/main/real_estate_boston_001.png)
🔭 I’m currently working on advanced projects in ML & DL
👯 I’m looking to collaborate on Digital Signal Processing, Machine Learning, Deep Learning
📫 How to reach me: [email protected]