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AI Engineering Course
Apni tech career ko AI Engineering Course ke saath bulandi par le jayen, yeh course technology professionals ke liye banaya gaya hai jo AI mein maharat haasil karna chahte hain. Model evaluation techniques jaise ke Recall, F1-Score aur cross-validation mein gehrai se utrein. Effective documentation mein apni skills ko behtar banaen aur churn prediction ke liye machine learning algorithms ko explore karen, jis mein decision trees aur logistic regression shaamil hain. Data exploration, feature encoding aur model optimization strategies mein maharat haasil karen. Hamare saath data ko actionable insights mein tabdeel karen aur apne field mein innovation ko farogh den.
- Model evaluation mein maharat haasil karen: Recall, F1-Score aur Precision ke saath accuracy ko behtar banaen.
- Effectively document karen: Faislon ko justify karen aur results ko wazeh taur par interpret karen.
- Churn predict karen: Decision Trees, Random Forests aur Logistic Regression ka istemaal karen.
- Data tayyar karen: Exploratory analysis karen aur missing data ko efficiently handle karen.
- Models ko optimize karen: Ensemble methods implement karen aur hyperparameters ko fine-tune karen.

flexible workload from 4 to 360h
certificate recognized by the MEC
What will I learn?
Apni tech career ko AI Engineering Course ke saath bulandi par le jayen, yeh course technology professionals ke liye banaya gaya hai jo AI mein maharat haasil karna chahte hain. Model evaluation techniques jaise ke Recall, F1-Score aur cross-validation mein gehrai se utrein. Effective documentation mein apni skills ko behtar banaen aur churn prediction ke liye machine learning algorithms ko explore karen, jis mein decision trees aur logistic regression shaamil hain. Data exploration, feature encoding aur model optimization strategies mein maharat haasil karen. Hamare saath data ko actionable insights mein tabdeel karen aur apne field mein innovation ko farogh den.
Elevify advantages
Develop skills
- Model evaluation mein maharat haasil karen: Recall, F1-Score aur Precision ke saath accuracy ko behtar banaen.
- Effectively document karen: Faislon ko justify karen aur results ko wazeh taur par interpret karen.
- Churn predict karen: Decision Trees, Random Forests aur Logistic Regression ka istemaal karen.
- Data tayyar karen: Exploratory analysis karen aur missing data ko efficiently handle karen.
- Models ko optimize karen: Ensemble methods implement karen aur hyperparameters ko fine-tune karen.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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