Victory J.

I am a computer programmer by profession, with a deep passion for computer science. The service I offer includes Artificial Intelligence Problem Solving, Machine Learning, Deep Learning, Neural Networks, Data Analysis, Statistical Analysis, Web Application, Cryptocurrency Forecast, Financial Analysis, Econometrics, Prediction Modeling, Data Visualization, Web3, Solidity Contract, Face Recognition, Cryptography and Scientific Research Work. I build a fully automated prediction model application program using both machine learning algorithms and neural networks. The approach I use involves, A non-deep learning approach and a deep learning approach. Each prediction maintains a high level of accuracy from 85% to 95%, which is evaluated using a confidence ranking score generated for each prediction algorithm. I use machine learning and neural networks to build accurate models that predict future business productivity performance using previous historic data. The Machine learning algorithms I use frequently includes Random Forest. Linear Regression Logistic Regression. Decision Tree. SVM. Naive Bayes. kNN. K-Means. Gradient Boosting algorithm (XGBoost) For Deep Learning Approach I use (Neural Network) For Cryptocurrency price forecast, I use (Facebook prophet algorithm, LSTM-RNN) For Image recognition I use (OpenCV and TensorFlow) Network security (Cryptography) Programming tools R programming language, (RStudio). SAS programming Python Microsoft Excel with a combination of VBA Macro. Pine script C programming Java For web development and application My SQL / PHPMyAdmin PHP HTML CSS XAMPP React.js and TypeScript (for web3 development) Experience in these fields of discipline. Data science, predictive model building, model cross-validation, and improvement, statistical analysis, web applications, data analysis, machine learning (deep learning), cryptocurrency price forecast, computer security, face recognition model, data visualization, neural network, web3 and solidity contract.