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Meghasyam PMP trainer in Hyderabad

Meghasyam

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locationImg Kukatpally, Hyderabad
15 yrs of Exp
students 2 students
rsIcon 175 per hour
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Education

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Data Scientist , Devops ,Big Data ,Python,JAVA and PMP

Having 20+ IT year experience with Bigdata , Devops and Data Science with Python ,PMP ,PRINCE2 and Agile CSM , SAFE certified.

Languages Spoken

English

Hindi

Telugu

Education

NIT, ALLAHABAD 2005

Master of Engineering - Master of Technology (M.E./M.Tech.)

UK 2016

PRINCE2

UK 2016

PRINCE2 Practioner

PMI 2017

PMP

Address

Kukatpally, Hyderabad, India - 500085

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Teaches

PMP Training Classes
1 Student

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in PMP Training Classes

15

Teaching Experience in detail in PMP Training Classes

PRINCE2,SCRUM, PMP certified , gave training to more than 100 student online and classroom , since 2017.

Python Training classes

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in Python Training classes

18

Course Duration provided

6-12 months, 1-3 months, 3-6 months

Seeker background catered to

Corporate company, Individual, Educational Institution

Certification provided

No

Python applications taught

Web Development with Python , Web Scraping with Python , Text Processing with Python, Scipy Stack with Python , Game Development with Python, Networking with Python , Data Visualization with Python, Data Science with Python, GUI (Graphical User Interfaces) with Python , Data Analysis with Python , Help in assignment, Testing with Python, Regular Expressions with Python , Data Extraction with Python , Machine Learning with Python, Automation with Python

Teaching Experience in detail in Python Training classes

Trainer more 100 students in python , data science ,django etc.

DevOps Training

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in DevOps Training

15

Teaching Experience in detail in DevOps Training

docker , kubernetes, jenkins , etc

Big Data Training

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in Big Data Training

17

Big Data Technology

Scala, Hadoop, Apache Spark

Teaching Experience in detail in Big Data Training

big data , hadoop , scala , pyspark

Data Science Classes

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

5

Data science techniques

R Programming, Java, Python, SAS, Machine learning, Artificial Intelligence

Teaching Experience in detail in Data Science Classes

What is Machine Learning  Machine Learning Types o Supervised learning o Unsupervised learning o Reinforcement learning o Deep learning  Linear regression  Multiple linear regression  Gradient Descent  Ridge regression  Lasso regression  Logistic regression-Binary classification  Logistic regression-Multi Class classification  K Nearest Neighbors (KNN)  Naive Bayes  Decision trees  Random forests  Un Supervised Learning  K Means Clustering  K fold cross validation  Hyper parameter tuning o Grid Search CV o Randomized CV  Ensemble Methods o Boosting o Bagging  Introduction to Tensor flow  Constant  Place holders  Variables  MLNN  Neurons  Weights  Activations  Networks of Neurons  Training Networks  Back propagation  Gradient Descent  CNN  Classification learning  Flatten  Fully Connected  SoftMax  3 Real-Time Projects  Deployment on multiple platforms  Discussion on project explanation in interview  Data scientist roles and responsibilities  Data scientist day to day work  One to One resume Discussion with project, technology and Experience.  Mock interview for every student

Reviews

No Reviews yet!

Teaches

PMP Training Classes
1 Student

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in PMP Training Classes

15

Teaching Experience in detail in PMP Training Classes

PRINCE2,SCRUM, PMP certified , gave training to more than 100 student online and classroom , since 2017.

Python Training classes

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in Python Training classes

18

Course Duration provided

6-12 months, 1-3 months, 3-6 months

Seeker background catered to

Corporate company, Individual, Educational Institution

Certification provided

No

Python applications taught

Web Development with Python , Web Scraping with Python , Text Processing with Python, Scipy Stack with Python , Game Development with Python, Networking with Python , Data Visualization with Python, Data Science with Python, GUI (Graphical User Interfaces) with Python , Data Analysis with Python , Help in assignment, Testing with Python, Regular Expressions with Python , Data Extraction with Python , Machine Learning with Python, Automation with Python

Teaching Experience in detail in Python Training classes

Trainer more 100 students in python , data science ,django etc.

DevOps Training

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in DevOps Training

15

Teaching Experience in detail in DevOps Training

docker , kubernetes, jenkins , etc

Big Data Training

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in Big Data Training

17

Big Data Technology

Scala, Hadoop, Apache Spark

Teaching Experience in detail in Big Data Training

big data , hadoop , scala , pyspark

Data Science Classes

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

5

Data science techniques

R Programming, Java, Python, SAS, Machine learning, Artificial Intelligence

Teaching Experience in detail in Data Science Classes

What is Machine Learning  Machine Learning Types o Supervised learning o Unsupervised learning o Reinforcement learning o Deep learning  Linear regression  Multiple linear regression  Gradient Descent  Ridge regression  Lasso regression  Logistic regression-Binary classification  Logistic regression-Multi Class classification  K Nearest Neighbors (KNN)  Naive Bayes  Decision trees  Random forests  Un Supervised Learning  K Means Clustering  K fold cross validation  Hyper parameter tuning o Grid Search CV o Randomized CV  Ensemble Methods o Boosting o Bagging  Introduction to Tensor flow  Constant  Place holders  Variables  MLNN  Neurons  Weights  Activations  Networks of Neurons  Training Networks  Back propagation  Gradient Descent  CNN  Classification learning  Flatten  Fully Connected  SoftMax  3 Real-Time Projects  Deployment on multiple platforms  Discussion on project explanation in interview  Data scientist roles and responsibilities  Data scientist day to day work  One to One resume Discussion with project, technology and Experience.  Mock interview for every student

Courses

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