I got your response from urbanpro regarding Data Science Using R and Python Programming. And, I completed B.Tech with MBA also Pursuing Ph.D in the field of Data Analytics and Business Intelligence in BITS Pilani,So far more than 1500 professionals trained and many colleges across India trained the students. Kindly, Share your email ID will send you the detailed course brochure. This course is designed for professionals who want to explore data analysis using R Programming and it includes Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression and Random Forest Regression and Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification and Random Forest Classification and then Clustering: K-Means and Hierarchical Clustering and then Association Rule Learning: Apriori Algorithm and Eclat and then Reinforcement Learning and then Natural Language Processing and Deep Learning: Artificial Neural Networks, Convolutional Neural Networks and Dimensionality Reduction: PCA, LDA, Kernel PCA. Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.
I got your response from urbanpro regarding Data Science Using R and Python Programming. And, I completed B.Tech with MBA also Pursuing Ph.D in the field of Data Analytics and Business Intelligence in BITS Pilani,So far more than 1500 professionals trained and many colleges across India trained the students. Kindly, Share your email ID will send you the detailed course brochure. This course is designed for professionals who want to explore data analysis using R Programming and it includes Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression and Random Forest Regression and Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification and Random Forest Classification and then Clustering: K-Means and Hierarchical Clustering and then Association Rule Learning: Apriori Algorithm and Eclat and then Reinforcement Learning and then Natural Language Processing and Deep Learning: Artificial Neural Networks, Convolutional Neural Networks and Dimensionality Reduction: PCA, LDA, Kernel PCA. Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.
I am a Data Science Adivsor at an MNC company. I have experience in state of the art technologies in data science, machine learning and deep learning. I have 3 granted patents and 4 more to be filed.
I am a Data Science Adivsor at an MNC company. I have experience in state of the art technologies in data science, machine learning and deep learning. I have 3 granted patents and 4 more to be filed.
Environment : Anaconda, Jupyter, Git Technology : Python, Tensorflow Modules : Scikit, Pandas, Numpy, Matplotlib, Seaborn, Xlrd etc OS : Windows , Linux Training Experience: Have taken multiple training sessions on Data science with python for 200+ working professionals Professional Experience: Build a linear regression ML model for understanding budget allocation for "offline vs online" marketing. Build a K-means algorithm for building a clustering model for documents classification based on their layout. Build Recommender systems for e-commerce client using collaborative filtering, a wisdom of the crowd approach. Build CNN model using tensorflow deep learning library, for handwritten images.
Environment : Anaconda, Jupyter, Git Technology : Python, Tensorflow Modules : Scikit, Pandas, Numpy, Matplotlib, Seaborn, Xlrd etc OS : Windows , Linux Training Experience: Have taken multiple training sessions on Data science with python for 200+ working professionals Professional Experience: Build a linear regression ML model for understanding budget allocation for "offline vs online" marketing. Build a K-means algorithm for building a clustering model for documents classification based on their layout. Build Recommender systems for e-commerce client using collaborative filtering, a wisdom of the crowd approach. Build CNN model using tensorflow deep learning library, for handwritten images.
we are from SARALA IT provide the services of training and recruitment. training we do provide online and offline. from past few years we are into this field,our goal is to give theright choice to right customer. education training is the field of satisfaction where our aim is to satisfy the student who enroll with us.
we are from SARALA IT provide the services of training and recruitment. training we do provide online and offline. from past few years we are into this field,our goal is to give theright choice to right customer. education training is the field of satisfaction where our aim is to satisfy the student who enroll with us.
We can teach each and every topics very easily and make it stronger for the students.
We can teach each and every topics very easily and make it stronger for the students.
We have rich experience.
Find more Data Science Classes
Do you offer Data Science Classes?
Create Free Profile >>You can browse the list of best Data Science tutors on UrbanPro.com. You can even book a free demo class to decide which Tutor to start classes with.
The fee charged varies between online and offline classes. Generally you get the best quality at the lowest cost in the online classes, as the best tutors don’t like to travel to the Student’s location.
It definitely helps to join Data Science Classes near me in Software Technology Parks Of India, Hyderabad, as you get the desired motivation from a Teacher to learn. If you need personal attention and if your budget allows, select 1-1 Class. If you need peer interaction or have budget constraints, select a Group Class.
UrbanPro has a list of best Data Science Classes