**What is Data Science?**

If you are not know all about data science but want to learn it, then we are ready to help you with data science. I am happy to share our knowledge of data science with you and with share our knowledge with you using python and R in data science. Online Data Science Help is a method which is used to analyze massive data and to find knowledge form them.

Areas which mostly covered using the data science :

Computer Science, Mathematics, Applications

**Data visualization**: This is used to represent the data in graphical format so that is is easy to learn and complete the project which is easy to understandable by any person. There are multiple visualization technique is used like- Line Plot, Pi Plot, Box Plot, Scatter graph, Bar Plot, Histogram and more other.

**Machine learning**: This is a branch of artificial intelligence that is totally based on the mathematical algorithms. In this we learn three types of Machine Learning Task- Supervised Machine Learning, Unsupervised Machine Learning and reinforcement Learning at https://www.allhomeworkassignments.com/

**Deep learning:**This area of machine learning would use the data to carry out model complicated abstractions. It is part of machine learning and it is used to handle complicated machine learning task.

**Pattern recognition**: Pattern recognition is the process of recognizing patterns by using machine learning algorithm. Pattern recognition can be defined as the classification of data based on knowledge already gained or on statistical information extracted from patterns and/or their representation. One of the important aspects of the pattern recognition is its application potential..

**Text analytics**: This technique is used to handle different type of machine learning test analysis like, analyzing hand written task or other text analyzing. Other important topics which can be handle by Data Scientist

**Regression Analysis**: This most important part of machine learning projects. Regression analysis used to handle non discrete problems. Regression Analysis divided into different categories which is as:

1 - Linear Regression 2 - Logistic regression

**Classification Problem:**This technique is used to find result using discrete value - good -bad, like - unlike or we can say 0 or 1.

**Clustering Analysis**: In this data is divided into groups of similar clusters.

**What Data Scientist Does?**

â€‹Collect the information and put it in a usable format. Solve all kinds of business related issues with the help of data driven techniques. Work with different Programming Languages like SAS, R programming and Python. Have extensive knowledge of statistics, especially on statistical tests and distributions Use different analytical techniques like machine learning, text analytics and deep learning. Communicate and easily collaborate with business and IT.

**Supervised Learning**

Supervised Learning Online Help as the name specifies shows the presence of a superviser as an educator. Essentially supervised learning is a learning wherein we teach or train the machine utilizing information in which the target lables are present. Once the machine has been trained then we present it with data without the presence of a target variable. In the second case the machine itself determines the correct targets for the data presented to it. Some of the most famous Supervised