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Become a Data Scientist: SQL, Tableau, ML & DL [4-in-1]
4-in-1 Bundle covering the 4 essential topics for a data scientist - SQL, Tableau, Machine & Deep Learning using Python What you will learn Develop…
Machine Learning using Python
Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in Python What you'll learn Learn how to solve real life problem using…
Decision Trees, Random Forests, AdaBoost & XGBoost in Python
Decision Trees and Ensembling techniques in Python. How to run Bagging, Random Forest, GBM, AdaBoost & XGBoost in Python What you will learn ☑ Get…
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Become a Data Scientist: SQL, Tableau, ML & DL [4-in-1]
4-in-1 Bundle covering the 4 essential topics for a data scientist - SQL, Tableau, Machine & Deep Learning using Python What you will learn Develop…
Decision Trees, Random Forests, Bagging & XGBoost: R Studio
Decision Trees and Ensembling techinques in R studio. Bagging, Random Forest, GBM, AdaBoost & XGBoost in R programming What you will learn Solid understanding of…
Support Vector Machines in Python: SVM Concepts & Code
Learn Support Vector Machines in Python. Covers basic SVM models to Kernel-based advanced SVM models of Machine Learning What you will learn Get a solid…
MINITAB – Predictive Modeling and Time Series Analysis
The main aim of this course is to learn how to use Minitab on real forecasting and time series analysis What you will learn The…
SAS Predictive Modeling – Predictive Analytics and Modeling
Learn how to build Predictive Models using Numerical Data using tools such as SAS What you will learn It covers topics such as PM SAS…
Telecom Customer Churn Prediction in Apache Spark (ML)
What you will learn In this course you will implement Spark Machine Learning Project Telecom Customer Churn Prediction in Apache Spark using Databricks Notebook (Community…
Surpac 6.X: Explicit 3D Geological modelling
From Excel file database to Solidmodel and Blockmodel What you will learn Understand the Surpac graphical interface, its bars and its tools. Create a geological…
Climatic reconstruction in R: Using tree ring
Dendroclimatology What you will learn Section 1. Dendrochronology, dendroclimatology, dendrohydrology, dendroecology, dendroglaciology and dendroarchaeology Section 2. Sample collection and laboratory Section 3. Wood anatomy (IAWA)…