Decision tree using binary dataset

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Hello there, I have read your project description and I can help you get your multivariate analysis done perfectly. In fact, i'm a data scientist with a proven working experience and during my years of work I have developed a professional programming skills using R. Please send me a private message so we can discuss further details. Thanks and regards

hi I've trained models with lr ,svm-linear and kernel , random forest , adaboost , majority vote classifier , sdgclassifier , neural network , cnn, rnn, using dimension reduction techniques as pcr ,lda and i also know how to tune hyperparametes by using cross validation amd stratified cross validation. I can also plot a graph describing whether we need more data or not for better accuracy. I also know to do stochastic gradient , out of core learnign and gradient descent. I know how to code  all the above and even by using sklearn programming language: python libraries: pandas, dataframe, numpy, scipy, sklearn, keras, tensor flow.

Dear Hiring Manager. My interests are machine learning, computer vision, natural language processing, unsupervised learning, and deep learning. I have 7+ experience in C++, Opencv, Python, numpy, Tensorflow and Torch7. I have worked on many research & industrial projects related to machine learning field. I also have good research experience that allow me to understand and implement state-of-art machine learning models and use it for new applications. I also love problem solving and participated in Arab Collegiate Programming Contest, 2013. I solved over 86 problems in UVA, Codeforces, and SPOJ. I have studied many important topics in ML and NLP through online courses such that (CS229 Stanford University, by Prof. Andrew Ng), but the topics that I have covered theoretically and practically are: linear regression and logistic regression, locally weighted linear Regression, PCA, distribution fitting, neural network and backpropagation algorithm, deep learning and unsupervised feature learning, autoencoders, convolutional neural network (ConvNet), dropout regularization technique, K means, linear SVM, gaussian mixture model and Gaussian process. I am looking forward to your request. Thanks.

I know python and R very well I can do it.

My team are most talented and well experienced researchers and developers in data analysis you can ever find. having a project but it is very difficult to choose who is capable of doing your work as the way you wanted? Looking for freelancer, who can manage anything that comes up with great response and quality work but for fair price? We will try our best effort to provide good solution and if we are hired you'll definitely receive outstanding result before the project deadline. Look no further, and feel free to contact us. Talking about skills, my team can manage anything that comes up with data science such as data analysis and mining including image processing, Machine learning algorithm and developing the Python, R, Sas, Weka, Martlab, Labview.

I have a lot of experinces in analizing ,creating models for classification problems,I will be happy if you let me do your problem as first jop for me here,feel free to contact with me. Relevant Skills and Experience I am graduated from faculty of computer science ,I studied Machine learning and data science ,I deal with many classification problems ,I cureently work in Big data and datascience fields.

A goal oriented professional looking for a project in a field of Analytics, IT and Marketing to use the skills attained during 4.4 years of IT experience along with the knowledge of management study to deliver efficient results to help organization to attain its goals. 6 months of experience in Business Development and Software Development, 3 Year of experience in Data Science & Machine Learning & 1 year of experience in Deep Learning. Data Science : Boosting, LightXGBoost, ANN,CNN,RNN, Multiple Regression, Logistic Regression, SVM, KNN, Naïve Bayes, Log it Model Time Series Analysis, ,Market Mix Model and Recommendation systems Tools: R, Tableau, Orange Data Mining, Anaconda, Python, Tensor flow, Google Data Studio, Google Cloud ML Domain: E-commerce, Loyalty and Campaign Management