Machine learning with Python tutors

Hi. My name is Uzair.I did my masters in Electrical Engineering. I have done my thesis in biomedical signal processing and Machine learning. I have more than 3 years of experience in Python/MATLAB specially in Machine learning/Deep Learning, Image processing and Signal processing. I have knowledge and understanding of state of the art machine learning algorithms like SVM, neaural networks as well as basic algos like KNN and clustering. I have also worked with sklearn and keras in PYTHON. I have experience with tensorflow,Keras,Pytorch and a ot of other ML libraries. I have recently organized a bootcamp on AI and machine learning in my university. Due to my vast coding experience , I can handle your project with quality work. Kindly share some more details so that I can offer the exact solution to your problem. Regards

i have a 5+ years exp in machine learning i have toght ml in many universities and companies in egypt so lets start now

sure, do kindly reach out over chat. I can help you scale up on machine learning excercise as well as personal mentoring of the same via screen share

I'm a experienced Data Scientist ready to do your work in an efficient way with strong analytical and logical reasoning skills with insatiable interest in Data Science and Big Data Analytics. Data analysis- Data Mining-Forecasting using R, SPSS, Excel and SAS Enterprise Miner. Machine learning- KNN, SVM, NB, PCA, LDA, RF, K-means/Hierarchical clustering, Supervised and Unsupervised Learning etc. Deep Learning - RNN, CNN, RCNN, RNTN etc. Programming Languages - R, Python, Java, C++, C, C# etc. Databases: Teradata-SQL, MySQL

I am Math Fin graduate from a top university with hands on experience in macro modeling and financial economics. Implementation of financial models based on academic literature. Programming Skills: Python, R, SQL Packages: numpy, scipy, statsmodels, sklearn, tensorflow, theano, keras, nltk, lxml, requests, openpyxl, pandas Stochastic Calc,Econometrics, Macroeconomics statistics - data science / machine learning, pattern recognition, neural network, random forest, ridge regression, lasso, nearest neighbor, cluster analysis, logistic regression, logit / probit transformation, spline, kernel smoother, nonparametric statistics, support vector machines, cross-validation, model selection, principal component analysis ( PCA ), Monte Carlo, variance reduction, antithetic / importance sampling, Markov Chain Monte Carlo, EM algorithm, Gibbs sampler, KALMAN filter, Bayesian Statistics, conjugate prior, posterior distribution, conditional expectation, multivariate distribution..

I have done all concept of machine learning

I am a research scholar and will able to give a tutorial of python programming with concepts of machine learning and its mathematical approach.

I am computer vision researcher, working in R&D team. I've done several courses on machine learning and deep learning from coursera, stanford and berkeley university lectures. I have developed four machine learning models from dot like building our own dataset. I have done seminars on machine learning. basically, I'll build some intuition behind the topics, how they are related to human cognitive intelligence. and then I'll explain you each and every topics with real time examples with code in jupyter notebook so that you can try it out at anytime you can experiment with your own parameters. and also I'll explain how you can build your own machine learning model step by step in python. I'll teach you how to read research paper and how you can replicate that to your problem. finally I'll provide you books and tips so that you can get updates on each and everyday what are the papers they are published in machine learning.