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Learn Artificial Intelligence & Machine LearningOnline + Physical Classes
> Course Overview:
you will learn about the main scientific libraries in Python for data analysis such as Numpy, Pandas, Matplotlib and Seaborn.
You’ll then learn about artificial neural networks and how to work with machine learning models using them.
You obtain a solid background in machine learning and be able to apply that knowledge directly in your own programs.
This course helps you to understand the difficult concepts of Machine learning in a unique way. Rather than just focusing on complex maths explanations, simpler explanations with charts, and info displays are included.
> What will you learn:
• Master Machine Learning on Python & R
• Have a great intuition of many Machine Learning models
• Make accurate predictions
• Make powerful analysis
• Make robust Machine Learning models
• Create strong added value to your business
• Use Machine Learning for personal purpose
• Handle specific topics like Reinforcement Learning, NLP and
Deep Learning
• Handle advanced techniques like Dimensionality Reduction
• Know which Machine Learning model to choose for each type
of problem
• Build an army of powerful Machine Learning models and
know how to combine them to solve any problem
For Complete Course Outline, Kindly visit > http://tiny.cc/y2q1tz
>>> For Details & Registration fill this form > http://tiny.cc/c4txtz
> Class Assignments, Practical Projects & Final Exam.
Training Features:
✔️ Get Premium WhatsApp Support By Trainers
✔️ Online Training Option is also Available
✔️ Get Certification
✔️ Recorded Lectures if you missed it
✔️ Free Online Internship
✔️ Freelancing Training
> Course Fee: Rs. 30,000/- including training material & certificates.
>>> Special Discount Offer, Final Fee after Discount: 15,000/-Rs
>> Registration FEE: 2000/-Rs
> Course Starting Dates:
1)
> 10th January, 2022
> Days : Mon & Tues
> (Timing: 05:00 PM to 07:00 PM)
> (Location: Johar Town)
> (Google Map: https://bit.ly/39EmPCq)
>> Last Date of Registration: 5th January, 2022
...................................................................................
* Online live session on zoom + recording option also available
> Hurry up Limited Seats are Available!
> Course Duration: 02 Months (Including Lab)
>> Participants, who will complete the course will get PNY Trainings Certificate and referred in relevant industry for jobs and internships.
? To enroll, you can make payment with one of the following options:
Option1:
• Via JAZZCash or Easy Paisa (0321-4257232)
or
Through JAZZCash Till ID 0002 4827
Option 2:
• Via direct transfer in below bank details:
>> Bank Details for Payment:
>> Bank Name: Bank Alfalah
>> Account Title: PNY Trainings
>> Account # 1005996030
>> Branch Code: 0137
>> IBAN Number: PK57ALFH0137001005996030
Option 3:
• PAY ONLINE (Jazz Cash & Debit/Credit Card):
>> click this link > www.pnytrainings.com/how-apply-online
>> Online payment tutorial link: http://tiny.cc/gp2moz
Option 4:
Visit us at Head Office: Office no #3. Level no # 2 .Arfa Software Technology Park, Ferozpur Road, Lahore
•In case of any support, feel free to contact:
Call us at 0304-1111774|WhatsApp: 0321-9533335
Johar Town Branch Address:
1st Floor 256 / A, Block R2 Near Shaukat Khanum Hospital, next to Standard Chartered, Lahore
> (Google Map: https://bit.ly/39EmPCq)
I.T Tower Branch Address:
Office # 4, 1st Floor I.T Tower Gulberg III Adjacent Chen One (Back Side of Hafeez Center) Lahore, Pakistan
> (Google Map: http://bit.do/fou7j)
Head Office Address:
Office # 03, Level # 02, Arfa Software Technology Park, Ferozpur Road Lahore, Pakistan
> (Google Map: http://bit.do/fooXt)
Rawalpindi Address:
181 B Block Satellite Town Rehmanabad Stop Near Attock Petrol Pump Murree Road Rawalpindi
> (Google Map: http://tiny.cc/hcyltz)
For further details CALL: UAN# 0304 11 11 774 l WhatsApp# 0321 9533335
Live WhatsApp Chat: http://bit.do/PNYChat
Website: www.pnytrainings.com
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Instagram: https://www.instagram.com/pny.trainings/
Email: [email protected]
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Event Venue & Nearby Stays
1st Floor 256 / A, Block R2 Near Shaukat Khanum Hospital, next to Standard Chartered, Lahore, Pakistan
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