Tollygunge, Kolkata, India - 700040
5
Details verified of Subhasish C.✕
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Education
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Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
10
Data science techniques
Machine learning, Python, Artificial Intelligence
Teaching Experience in detail in Data Science Classes
Class Location
Online Classes (Video Call via UrbanPro LIVE)
I am Willing to Travel
Tutor's Home
Years of Experience in Deep Learning Training
10
Deep_Learning_Techniques
Tensorflow, Python
Teaching Experience in detail in Deep Learning Training
I do provide corporate training on RL , DL, generelly I use collab, as its very user friendly and browser based, My working domain is image processing and NLP, Text Mining. i use to take class with Skype,
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
10
Course Duration provided
1-3 months
Seeker background catered to
Corporate company, Individual, Educational Institution
Certification provided
Yes
Python applications taught
PySpark, Scipy Stack with Python , Automation with Python , GUI (Graphical User Interfaces) with Python , Data Science with Python, Data Extraction with Python , Web Scraping with Python , Data Analysis with Python , Text Processing with Python, Machine Learning with Python, Data Visualization with Python, Regular Expressions with Python , Web Development with Python , Core Python
Teaching Experience in detail in Python Training classes
I do provide corporate training on ML using Python and also conduct workshop at institution based on their requirement. I am working with data for last 7yrs to find hidden insights and transform data into business lead. students may learn with real time data and hands on. I conduct training on PYTHON in the following domain. Data Analytics with Python. Data Visualization with Python Image processing using OpenCV Deep learning with Python Web scrapping with Python Mock interview on Python according to level I am associated with number of institution to provide training to their students in Python, ML, Image recognition etc.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Business Analytics Training classes
6
Teaching Experience in detail in Business Analytics Training classes
Todayās world is knowledge based. In the earliest days, knowledge was gathered through observation. Later, knowledge not only was gathered through observation, but also confirmed by actually doing and then extended by experimenting further. Knowledge thus gathered was applied to practical fields and extended by analogy to other fields. Today, knowledge is gathered and applied by analyzing, or deep-diving, into the data accumulated through various computer applications, web sites, and more. The advent of computers complemented the knowledge of statistics, mathematics, and programming. The enormous storage and extended computing capabilities of the cloud, especially, have ensured that knowledge can be quickly derived from huge amounts of data and also can be used for further preventive or productive purposes. In this course I will use data and transform this data into business. The application of data analytics to the field of business is called business analytics. During teaching of this course, I will go through real time data to predict business scenario in terms of data generated through different sources. Whenever a person search for a budget hotel at search engine, lots of site offering a budget hotel appear on the home page, now if user search this type data for couple of hours, then google will consider browser history of user as data, and provide the relevant link to the user. Here business lead is generated based browser history of individual
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Analytics classes
7
Teaching Experience in detail in Data Analytics classes
Todayās world is knowledge based. In the earliest days, knowledge was gathered through observation. Later, knowledge not only was gathered through observation, but also confirmed by actually doing and then extended by experimenting further. Knowledge thus gathered was applied to practical fields and extended by analogy to other fields. Today, knowledge is gathered and applied by analyzing, or deep-diving, into the data accumulated through various computer applications, web sites, and more. The advent of computers complemented the knowledge of statistics, mathematics, and programming. The enormous storage and extended computing capabilities of the cloud, especially, have ensured that knowledge can be quickly derived from huge amounts of data and also can be used for further preventive or productive purposes. In this course I will use data and transform this data into business. The application of data analytics to the field of business is called business analytics. During teaching of this course, I will go through real time data to predict business scenario in terms of data generated through different sources. Whenever a person search for a budget hotel at search engine, lots of site offering a budget hotel appear on the home page, now if user search this type data for couple of hours, then google will consider browser history of user as data, and provide the relevant link to the user. Here business lead is generated based browser history of individual. The entire journey of this course is divided into eight module. Module-1 is Introduction with Business Analytics. in this module learner will learn different perspective of this course. Module-2 is Introduction with R, and uses of R for Data Analysis. Module-3 comprises of Introduction to descriptive analytics, Module-4 describe about Business Analytics Process & Data Exploration. Module-5 is about supervised ML , Module-6 is about unsupervised ML , Module-7 is about Simple & Multiple Linear Regression, Module-8 is about Logistic Regression. This course is ideal for those who want to focus their career in DATA ANALYSIS or Stock Market Analysis. Using business analytics learner can find potential lead among number of leads and predict business volume. Business Analytics using R will help business professional to make more business by scientific & statistical analysing of business data. The outcome of this course is very promising as future business volume depends proper study of fata. So guies have a coll mind and join this course for future enrichment.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Amazon Web Services Training
14
AWS Certification offered
AWS Certified Solutions Architect
AWS Certification Level offered
Associate
Class Location
Online Classes (Video Call via UrbanPro LIVE)
I am Willing to Travel
Tutor's Home
Years of Experience in Internet of Things Security Training
5
IoT Security Level
Advanced of IoT Security, Basics of IoT , Security Essentials of IoT Security
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in AI Training
10
Teaching Experience in detail in AI Training
1. Simplifying complex topics like machine learning algorithms, neural networks, or natural language processing. 2. Using hands-on projects to help learners apply AI in real-world contexts. 3. Integrating current events in AI or case studies to help learners see the relevance of what they're learning.
4 out of 5 1 review
Saransh Saha
"The class was very interactive with a handful amount of practical examples and good explanation. Only problem I had face during the video call class was of poor audio quality. "
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1. According to me there are 10-step process. Step1: category 1 Who are you? Greetings : Good morning before 12noon, good afternoon after 12 noon. Don't look at your watch while greetings with smile...
According to IBM, there will be an increase by 3,50,000 to 2,80,000 opening in year 2020. Finance and Professional service having expected growth by 60%
1. Appropriate Length- Try not to include objective and conclusion. 2. Relevant Coursework- List out all relevant coursework, that you think relevant to job description. 3. Technical Skill- Specify...
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