#Rapidminer studio 6.5 download series

 Medical analysis and Time series analysis ĝescriptive Bayesian, Parametric and Non parametric tests in spss, R

 Modelling and Prediction: R, python, SAS, Excel, SPSS)  Statistical analysis (Anova, STATA, R python, SAS, Jamovi,) ĝata visualization and Dashboards (python, Tableau, power BI, R, Excel, ggplot)  PYTHON (pandas, numpy,kaggle, jupyter notebook) Using different languages such as python, C++, Java, SQL, I can satisfy the needs of my clients We develop and suggest better ways of improving the performance of a given scenario.Īdvanced data science gives a clear indication of the world's number advancing technology via Machine learning techniques and algorithms, Deep Learning, and Neural networks.

#Rapidminer studio 6.5 download software

The great interpretation of the outputs from the software gives a clear understanding of the data. Also good at chemical engineering and handling both research papers and lab reports.ĭata Science is the field that helps us understand our data from different sources after analysis using different softwares such as R studio, STATA, JAMOVI, ANOVA, EVIEWS, EXCEL, SPSS, NVIVO, and PYTHON language. In chemistry, I provide services on the advanced synthesis of compounds and reaction mechanisms with advanced formulations of new products (organic and inorganic ). I am a chemistry specialist and a Data Analyst with a solid background and experience of 4 years. Microsoft Excel with a combination of VBA Macro.Įxperience in these fields of discipline.ĭata 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 and neural network. The Machine learning algorithms I use frequently includesįor Deep Learning Approach I use (Neural Network)įor Cryptocurrency price forecast, I use (Facebook prophet algorithm, LSTM-RNN)įor Image recognition I use (OpenCV and TensorFlow) I use machine learning and neural networks to build accurate models that predict future business productivity performance using previous historic data. The approach I use involves, A non-deep learning approach and a deep learning approach.Įach 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 build a fully automated prediction model application program using both machine learning algorithms and neural networks. The service I offer includes Artificial Intelligence Problem Solving, Machine Learning, Deep Learning, Data Analysis, Statistics, Cryptocurrency forecast, Financial analysis, Prediction modeling, Data visualization, Web application, Face recognition model, Cryptography and Scientific research work. I am a computer programmer by profession, with a deep passion for computer science.