Learnerea
This platform is created to provide a space for collaborative learning to those who are passionate to bring some changes for good either in their or someone else’s life by learning or sharing your knowledge of a good & in-demand skill.
Our main focus is to make this platform as interactive as possible so that you could learn exactly what is required to you at certain point of time and for that we encourage our viewers to post their requirements either in the comment or on our facebook page (link provided at the end) and we make the videos and upload the same over here.
The topics/skills we are starting with:
• Excel
• VBA
• SAS
• Python
• SQL
• R
• Data Science
As mentioned previously, the list will keep on increasing as you request.
Apart from this, we also provide the freelancing services for corporate physical classroom training, Data analysis consultation, DWH Creation, Web Scrapping, SAS/Python/SQL etc. based works.
For any of the things mentioned above, feel free to get in touch
Maximizing Model Efficiency: Mastering Feature Selection Strategies in Data Science | Tutorial
Mastering Feature Selection: With Tree Based Feature Importance| Part - 10
Mastering Feature Selection: With Elastic Net Regression| Part - 9
Mastering Feature Selection: With Ridge Regression| Part - 8
Mastering Feature Selection: With LASSO - Least Absolute Shrinkage and Selection Operator| Part - 7
Mastering Feature Selection: With Recursive Feature Elimination (RFE)| Part - 6
Mastering Feature Selection: With Backward Elimination | Part - 5
Mastering Feature Selection: With Forward Feature Selection | Part - 4
Mastering Feature Selection: With ANOVA Test | Part - 3
Mastering Feature Selection: With Chi Square Method | Part - 2
Освоение выбора признаков: с использованием метода корреляции | Часть 1
Complete PD Model Dev: Stats, Balancing, Scaling, Models, Monitoring, Automation
Mastering Top Data Balancing Techniques: Over& Under Sampling, SMOTE, K-Fold & BalancedRandomForest
Automating Preprocessing & Model Saving: Create, Save, and Reuse Modules | PD Model Dev - 6
Model Monitoring Dashboard: Track KPIs, Confusion Matrix & Predictions | PD Model Dev - 5
Seamless Integration: Scaled, Balanced Predictions Meet the Original Dataset | PD Model Dev - 4
XGBoost, Random Forest, Logistic Regression Models Training & Feature Importance | PD Model Dev - 3
Categorical Features One-Hot Encoding, Scaling & Class Balancing | PD Model Dev - 2
Master Data Prep & Descriptive Stats: Outliers, Missing Values, + More! | PD Model Dev - 1
Unlocking Insights: Analyzing Machine Learning Predictions in Power BI | Data Analytics Tutorial
Mastering Practical Usage of Machine Learning: Save Models & Automate Data Prep!
Ensemble Mastery: Achieving Data Balance with BalancedRandomForest!|5th of top Top 5 Data Balancing
Data Harmony Unveiled: K-Fold Cross Validation for Perfect Balance | 04th of Top 5 Data Balancing
SMOTE Mastery: Achieving Data Balance in Machine Learning | 3rd of Top 5 Data Balancing Techniques
Mastering Data Imbalance: 1st Out of Top 5 Techniques for Effective Balancing in Machine Learning
Power BI Mastery: Complete Tutorial from Basics to Advanced|Learn DAX, Visualization & Data Analysis
Creating a Running Count in Power BI | Simple and Effective Steps | #45
SAS Secrets Revealed: Mastering PROC FCMP for Custom Functions
Handling Missing Data in SAS: Mean, Median or Zero Imputation Explained
Mastering an Automated & Dynamic Merges in SAS: A Step-by-Step Guide for Efficient Data Integration