MACHINE LEARNING TRAINING

The following topics are covered in "Machine Learning"

Foundation:

Machine Learning Introduction: Supervised and Unsupervised Learning

• Linear Regression Theory
• Linear Regression Programming with R
• Working on Case Study

Multiple Linear Regression

• Theory behind multiple linear regression
• Multiple Linear Regression with R
• Working on Case Study

Decision Tree:

• Theory Behind Decision Tree
• Decision Tree with R
• Working on Case Study

Naive Bayes:

• Theory behind Naïve Bayes classifiers
• Naive Bayes Classifiers with R
• Working on Case Study

Support Vector Machines:

• Theory behind Support Vector Machines
• Support vector machines with R
• Improving the performance with Kernals
• Working on Case Study

Association Rule:

• Theory behind Association Rule
• Working on Case Studies

Expert:

Neural Net:

• Artificial Neural Network
• Connection Weights in Neural Network
• Generating Neural Network with R
• Improving Neural Network Accuracy with Hidden Layers
• Working on Case

Random Forest:

• Theory behind Random Forest
• Random Forest with R
• Improving performance of Random Forest
• Working on Case Study

Recommendation Engine:

• Theory behind Recommendation Engines
• Working on Case Study with R

Dimension Reduction:

• Theory behind Recommendation Engine
• Working on Case Studies

• Popular Machine Learning Algorithms
• Clustering, Classification and Regression
• Supervised vs Unsupervised Learning
• Choice of Machine Learning

• Simple and Multiple Linear Regression
• KNN etc...

• Theory of Linear Regression
• Hands on with use Cases

• Naïve Bayes for text classification
• New Articles Tagging

• K-means Clustering

• Tuning with Hyper Parameters
• Popular ML Algorithms
• Clustering, Classification and Regression
• Supervised vs Unsupervised
• Choice of ML Algorithm

• Ensemble Theory
• Random Forest Tuning

• Simple and Multiple Linear regression
• KNN

• Text Processing with Vectorization
• Sentiment analysis with TextBlob
• Twitter sentiment analysis.

• Basic ANN network for regression and classification

• Tensorflow work flow demo and intro to deep learning

DataMites's Certified Data scientist with R program covers all the data analytics techniques using the latest tools like R, Python, Tableau, Machine Learning and MiniTab. This course allows you to obtain an in-depth knowledge by laying a strong foundation and covering all the latest topics. The increasing demand curve for data analytics professionals to manage the large set of data in various organizations along with this course certificate can transform you into a successful data analytics professional.

This course comes as a perfect package by allowing you to learn about entire data lifecycle and all the methods to achieve the same. You would not just learn about the data analytics techniques and tools but also learn on how to apply them to raw data and obtain business insights.

After successful completion of this “Certified Data scientist with R” course, you should have

• Gained a better knowledge on how the Business statistical Analytics work and its lifecycle.
• Learned to perform data analysis for large set of data using all the latest tools like R, Python, Tableau, Machine Learning and MiniTab.
• Attained the ability to work with different data formats like CSV, XML, SPSS, SAS, etc.
• In depth knowledge on Data Mining, Data forecasting, and Data Visualization.

Data science is the hot field that is booming up now. Be it a small company or an MNC, they need a Data scientist to manage their large pool of data. High demand for data scientists with only a few qualified people to hire, the companies are ready to offer extremely fat salaries to those who have completed this course. This course not only fetches you loads of career opportunities but also allows you to apply the new age skills in your current work and prove to senior management that you are efficient and knowledgeable. Be assured that you are entering the future of analytics much earlier to grab those wonderful opportunities arising from this biggest need of the business world.

This course “Certified Data scientist with R” is not restricted to any specific domain.

• Fresh Graduates or students from any discipline can choose this course to obtain better job opportunities in this most demanding data analytics field.
• Working professionals looking to change their domain to analytics field can also opt this course.
• Highly recommended for those who are aspiring jobs that mainly revolves around data analytics and for those who have a keen interest or a basic knowledge of statistics and mathematics.

Being one among the handful companies offering this Data Science training, DataMites assures you an industry tailored training program from best trainers. The combined learning of theoretical and practical sessions can help you with a clear idea of all the concepts. DataMites's Certified Data scientist with R course will give you the edge in the competitive market.

This an online program and you can learn conveniently from your home.

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and also have been monitored by industry practitioners.

No, the exam fees are already included in the course fee and you will not be charged extra.

We guarantee that you can achieve an in-depth knowledge and an enhanced skills but we do not provide job assistance.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

• 1. Job connect
• 2. Resume Building
• 3. Mock interview with industry experts
• 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.