zkcs's Projects
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
Algorithms solved using C# from 2015 to 2016
Repo for the Deep Learning Nanodegree Foundations program.
DeepEnzyPred: A Bi-Layered Deep Learning Based Intelligent Model for prediction of Bacteriophage Enzymes and their Sub-Hydrolases Enzymes via Novel Cascade Multi Threshold Feature Selection technique
Electoral Complaint Commission, a complete solution towards, implementing and , and manipulating on going complaint.
Electoral Information Tracking IS App
An automated File tracking system
A Cascade Sub set Feature selection of Cancer lectins discrimination model
iRecSpot-EF: Effective Sequence Based Features for Recombination Hotspot Prediction
irSpot: Sequence based physio chemical integrator predictor for Recombination spot prediction.
Keras implementations of Generative Adversarial Networks.
This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
A collection of machine learning examples and tutorials.
Personal projects using machine learning and deep learning techniques
nSegmented PseAAC Sulfenylation Site Predictor
A prediction for DNase I hypersensitive sites in plant genome based on SVM
A Bi-Layered Model for Prediction of Enhancers and their Sub Types
Prediction of Growth hormone binding proteins, via Novel Consensus Feature Selection and PSSM profile
PyTorch implementations of Generative Adversarial Networks.
A try to Quantum Neural network
Companion code for Self-Driving Car YouTube Series