Course Details
                        Course ID: NIELIT/05323
                    
                                                                                                    
                        Candidate Eligibility: 2nd Year Polytechnic Diploma in Computer Science/ IT/ Electronics /Electrical /Instrumentation or Final year BCA/B.Sc. (Electronics/CS/IT) or Pursuing MCA/MSC(CS/IT) /PGDCA or Pursuing B.E/B.Tech in any domain or NIELIT O Level (IT).
                    
                                                                    
                        Course Affiliated to NSDC: YES
                    
                                                                    
                        No. Of NOS (If QP): NA
                    
                                                    
                        NSQF Level: 4
                    
                                                                    
                        Cost Category: 1
                    
                                                    
                        Course Affiliated To: NA
                    
                                                    
                        Sector Name: IT-ITES
                    
                                                                    
                        Occupation Name: NIELIT Patna - Foundation course in Machine Learning using Python
                    
                
                Course Duration
                    
                                Theory duration: 30 Hrs
                            
                                                                            
                                Practical duration: 60 Hrs
                            
                                                                                                                                                                                                    
                                Total Course Duration: 90 Hrs
                            
                                            
                        Assessment Details: 1 Pass percentage would be 50% in each component, with aggregate pass percentage of 50% and above. 
                    
                
                                                
                            
                    
                        

