Learn Machine Learning in Bangalore

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    Machine Learning

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  • Machine Learning

Machine Learning Course

Learn the most important Machine Learning Techniques step by step through this course.


Course Ingredients

1.Learn the use of Python for Machine Learning.
2.Master Machine Learning on Tensorflow.
3.Learn Statistics,Tensorflow, AWS.
4.Learn Hypothesis Testing, Algebra, Gaussian, Heuristic.
5. Learn Numpy, Pandas, Matplotlib, Scikit.
6. Learn Forecasting, Distribution, Normalization, Trend Analysis, Predictive Modeling, Fraud Detection.
7. Learn Neural Network, Sequential Model, Data Visualization, Data Analysis, Data Manipulation, KNN Algorithm.
8. Learn Decision Tree, Random Forests, Vector Machine, Time Series Analysis, Market Basket Analysis.


Benefits of Machine Learning Certification:

1. Simplifies Product Marketing and Assists in Accurate Sales Forecasts
2.Facilitates Accurate Medical Predictions and Diagnoses
3. Improves Precision of Financial Rules and Models
4. Easy Spam Detection
5. Increases the Efficiency of Predictive Maintenance in the Manufacturing Industry
6. Better Customer Segmentation and Accurate Lifetime Value Prediction
7. Deal Sync Issues


Machine Learning Roles & Responsibilities:

1. Machine Learning Engineer
2.Data Engineer/Data Architect
3.Data Scientist
4.Data Analyst


Course Content

Total hours: 60 Hours

  • Statistic Essentials

  • Introduction

  • Analytics

  • Big Data

  • Emerging Trends

  • Data Mining

  • Supervised & Unsupervised Learning

  • Sampling

  • Technical Terminology

  • Error of Observation & Non Observation

  • Systematic Sampling

  • Cluster Sampling

  • Data Types

  • Qualitative Data

  • Relative Frequency

  • Joint Probability

  • Conditional Probability

  • Total Probability

  • Cumulative Probability Distribution

  • Bernoulli Distribution

  • Gaussian Distribution

  • Geometric Distribution

  • Continuous & Normal Distribution

  • Matrix Properties

  • Determinants

  • Hypothesis Test

  • Normality Test

  • Covariance

  • Introduction

  • Examples

  • Understanding Functions

  • Anaconda

  • Cloudberry

  • Numpy

  • Pandas

  • Matplotlib

  • SciKit

  • Playing with functions & DataSet

  • Introduction

  • Lifecycle

  • Connection Setup

  • Data Schema Creation

  • Creating Models, Objects & Data Sources

  • Batch Prediction

  • Introduction

  • Neural Network

  • Activation Functions

  • Working with neural packages

  • Implementing Keras Data Set

  • Introduction

  • Text Preprocessing

  • Stemming & Lemmatization

  • Token Conversion

  • Machine Learning with R

  • Business Intelligence

  • Building a Recommendation Engine

ReactJSMachine Learning Trainer

A dynamic and self - motivated Trainer and System Administrator. Aspiring for a Bright and challenging career in the field of Training and Networking Technology, which could enable me to upgrade myself with emerging trends and technologies to benefits of the professional growth and accomplishment of organizational goals.

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