Pantech.AI

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Internship on Machine Learning

Original price was: ₹2,499.00.Current price is: ₹1,499.00.

What You will get
  • 30 Days Recorded Lecture Videos
  • Downloadable materials like PPT , Mindmap , PDF , Source Code & Dataset
  • Lifetime Access to Private Community
  • Lifetime Access to Course Lectures & Materials
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What you will Learn in This Internship on Machine Learning

  • Overview A.I | Machine Learning
  • Introduction to Python | How to write code in Google Colab, Jupyter Notebook, Pycharm & IDLE
SUPERVISED LEARNING – CLASSIFICATION & REGRESSION
  • Advertisement Sale prediction from an existing customer using LOGISTIC REGRESSION
  • Salary Estimation using K-NEAREST NEIGHBOR
  • Character Recognition using the SUPPORT VECTOR MACHINE
  • Titanic Survival Prediction using NAIVE BAYES
  • Leaf Detection using DECISION TREE
  • Handwritten digit recognition using RANDOM FOREST
  • Evaluating Classification Model Performance using CONFUSION MATRIX, CAP CURVE ANALYSIS & ACCURACY PARADOX
  • Classification Model Selection for Breast Cancer Classification
  • House Price Prediction using LINEAR REGRESSION Single Variable
  • Exam Mark Prediction using LINEAR REGRESSION Multiple Variable
  • Predicting the Previous salary of the New Employee using POLYNOMIAL REGRESSION
  • Stock price prediction using SUPPORT VECTOR REGRESSION
  • Height Prediction from the Age using DECISION TREE REGRESSION
  • Car price prediction using RANDOM FOREST
  • Evaluating Regression model performance using R-SQUARED
INTUITION & ADJUSTED R-SQUARED INTUITION
  • Regression Model Selection for Engine Energy Prediction.
UNSUPERVISED LEARNING – CLUSTERING
  • Identifying the Pattern of the Customer Spent using K-MEANS CLUSTERING
  • Customer Spending analysis using HIERARCHICAL CLUSTERING
  • Leaf types data visualization using PRINCIPLE COMPONENT ANALYSIS
  • Finding Similar Movie based on ranking using SINGULAR VALUE DECOMPOSITION
UNSUPERVISED LEARNING – ASSOCIATION
  • Market Basket Analysis using APIRIORI
  • Market Basket Optimization/Analysis using ECLAT
REINFORCEMENT LEARNING
  • Web Ads. Click through Rate optimization using UPPER BOUND CONFIDENCE
NATURAL LANGUAGE PROCESSING
  • Sentimental Analysis using Natural Language Processing
  • Breast cancer Tumor prediction using XGBOOST
DEEP LEARNING
  • Bank Customer classification using ANN
  • Pima-Indians Diabetes Classification using CONVOLUTIONAL NEURAL NETWORK
  • A.I Snake Game using REINFORCEMENT LEARNING

What you will get

✅ Complete Video recordings of the course

✅ All attachment Download – PPT, Mindmap, Source code & Dataset

✅ Private Community Access

✅ E-Internship Certificate

✅ Lifetime course validity

Sample Internship Certificate

pantech internship certificate

Frequently asked questions

  1. Once I have Done the Payment where should I access the course?
    After the payment is done. Please signup to learn.pantechsolutions.net using the same mail id used for payment.
  2. Where can I access the course?
    You can access the courses in our learning portal learn.pantechsolutions.net
  3. What is the validity of the course?
    Each course’s validity varies from each plan you have chosen.
  4. Is it only Self Paced Learning or I will get a Live session?
    It is a Self-paced Learning. Apart from that you will be having live sessions on Mastermind
  5. Where can I clear my doubts?
    You can clear doubts in Weekly Mastermind Session.
  6. Will you provide job opportunities?
    We will provide all the skillset that is needed to get a job
  7. Can I Take More than One Course at a Time?
    Yes, you can each progress of the course will be noted respectively.
  8. My Payment Did Not Go Through. What Do I Do?
    Please Mail us to learn@warriorsway.in
  9. When do I get my internship Certificate?
    The internship Certificate will be generated automatically in the portal after completing the course for 100% . you can download from the portal for the respective course.

For other Courses: Click here

Enroll here for 4 in 1 Internship: Python + A. I + M.L + D.A: Click here

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