Learn the most important Machine Learning Techniques step by step through this course.
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.
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
1. Machine Learning Engineer
2.Data Engineer/Data Architect
Supervised & Unsupervised Learning
Error of Observation & Non Observation
Cumulative Probability Distribution
Continuous & Normal Distribution
Playing with functions & DataSet
Data Schema Creation
Creating Models, Objects & Data Sources
Working with neural packages
Implementing Keras Data Set
Stemming & Lemmatization
Machine Learning with R
Building a Recommendation Engine
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.