SlideShare a Scribd company logo
Internship: Final Presentation
1
INTERNSHIP DOMAIN: MACHINE LEARNING
Internship Work
on
“Your Project Name"
c
Student Name
College Name
Branch
USN / Reg No
Internship
Duration
4 Weeks ( 1st September 2021to 30th
September 2021)
Company
Internship Guide
Your Guide Name , Designation
2
Internship Tasks
3
1. About Company
2. Internship Task
3. Introduction on Project work / Roles
4. Software / Hardware Tools Details
5. Implementation Details
6. Skills Utilized
7. What I Learnt ?
8. Internship Outcomes
9. Project Demo / Screenshots
10. Conclusion
About company
InfiData Technologies An ISO 9001:2015 Certified IT Company,
Accreditated by An International Accreditation Service (IAS). Head
quartered in "silicon valley" of India Bengaluru, started in the year
2015. We are highly specialized in the design and development of
websites, software application development,mobile app
development,E-Commerce solutions and more.
Our team of expert professionals works on the latest software
tools and technologies to give the best and promising services to
our customers.
4
OUR SERVICES
Development | Training |Consulting
Address:
#1421, 1st Floor,16th B Cross, Sri Radha
Building, Opp.To Dr. Agarwal Eye Hospital,
Yelahanka New Town, Bengaluru-64
www.infidata.in | info@infidata.in
Internship Tasks
5
1. Working with python libraries
2. Working with ML Algorithms
3. Activities on Model Building
4. Project Development with datasets
5
Introduction to Project Work / Roles
• Loan Approval Prediction.
In this article, we are going to solve the Loan Approval Prediction.
• the loan will be approved or not.
This is a classification problem in which we need to classify whether the loan will be
approved or not.
Predicting modeling modeling
Classification refers to a predictive modeling problem where a class label is predicted
for a given example of input data.
personal information
Applicants provides the system about their personal information and according to their information system gives his
status of availability of loan.
• A time limit can be set for the applicant to check whether his/her loan can be sanctioned or not.
• Loan Prediction is very helpful for employee of banks as well as for the applicant also.
6
Software / Hardware Tools Details
Software:
• Python 3.6/3.7
• Anaconda Navigator
• Jupyter notebook
Hardware :
• Minimum PC Requirements
7
Implementation Details
8
8
• We have used multiple algorithms for Loan Prediction like Decision Tree, K-Nearest Neighbor(KNN)
Algorithm, Logistic Regression, ...
• A decision tree is a non-parametric supervised learning algorithm, which is utilized for both
classification and regression tasks
• Machine learning is a field of computer science that involves the learning of pattern identification and
computational learning theory in artificial intelligence
• Loan Dataset is very useful in our system for prediction of more accurate result. Using the loan Dataset the
system will automatically predict which costumer’s loan it should approve and which to reject.
• System will accept loan application form as an input.
• Typically , Here the system separate a dataset into a training set and testing set ,most of the data use for
training ,and a smaller portions of data is use for testing. after a system has been processed by using the
training set, it makes the prediction against the test set
• Data cleaning and processing:In Data cleaning the system detect and correct corrupt or inaccurate records
from database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and
then replacing , modifying or detecting the dirty or coarse data. I
Skills Utilized
1. Software Engineering Skills
2. Algorithms and Model Building
3. Administrative and collaboration tools
using Github.
9
Skills Utilized
10
What I learnt ?
11
Technical skills:
● Python
● ML Algorithms
● Working with
Libraries and
datasets
● Frameworks
Soft skills:
● Teamwork in an
international working
environment
● Communication skills
● design Working
culture
Management skills:
● project
management,
● time management
● and more
Internship Outcomes
● Now I am able to design applications
● Working with SDLC Approach
● Growth : Critical Thinking and analysis
● Lead the team andprojects
● (Add if any)
12
Project Demo / Screenshots
Conclusion
This internship has been an excellent
and rewarding experience.
It was a great opportunity to improve
personal and professional skills.
These valuable skills have boosted my
professional skills to a higher level and
prepare me for futurecareer.
14
Thank You
15

More Related Content

Similar to ML_Internship Presentation_Infidata_2021.pptx

Similar to ML_Internship Presentation_Infidata_2021.pptx (20)

Sandeep Kumar_Test Lead
Sandeep Kumar_Test LeadSandeep Kumar_Test Lead
Sandeep Kumar_Test Lead
 
Dhanujai_Testing_Resume
Dhanujai_Testing_ResumeDhanujai_Testing_Resume
Dhanujai_Testing_Resume
 
Sharath Resume
Sharath ResumeSharath Resume
Sharath Resume
 
Roshan_CV
Roshan_CVRoshan_CV
Roshan_CV
 
CV_Dhanya
CV_DhanyaCV_Dhanya
CV_Dhanya
 
Samyuktha Javangula
Samyuktha JavangulaSamyuktha Javangula
Samyuktha Javangula
 
Dhanujai_Testing_Resume
Dhanujai_Testing_ResumeDhanujai_Testing_Resume
Dhanujai_Testing_Resume
 
Advanced Project Data Analytics for Improved Project Delivery
Advanced Project Data Analytics for Improved Project DeliveryAdvanced Project Data Analytics for Improved Project Delivery
Advanced Project Data Analytics for Improved Project Delivery
 
Radha Lakshmi_Resume_Lead
Radha Lakshmi_Resume_LeadRadha Lakshmi_Resume_Lead
Radha Lakshmi_Resume_Lead
 
Samyuktha Javangula
Samyuktha JavangulaSamyuktha Javangula
Samyuktha Javangula
 
Resume-Amarnath Chandran (1)
Resume-Amarnath Chandran (1)Resume-Amarnath Chandran (1)
Resume-Amarnath Chandran (1)
 
Yatin kalaria
Yatin kalariaYatin kalaria
Yatin kalaria
 
MathumithaGnanasekaran_Resume(1)
MathumithaGnanasekaran_Resume(1)MathumithaGnanasekaran_Resume(1)
MathumithaGnanasekaran_Resume(1)
 
Navin Latest
Navin LatestNavin Latest
Navin Latest
 
CV@rajat Sujanian
CV@rajat SujanianCV@rajat Sujanian
CV@rajat Sujanian
 
Prathap resume
Prathap resumePrathap resume
Prathap resume
 
Resume_shanmugapriya
Resume_shanmugapriyaResume_shanmugapriya
Resume_shanmugapriya
 
Ready for Fast Data: How Lightbend Enables Teams To Build Real-Time, Streamin...
Ready for Fast Data: How Lightbend Enables Teams To Build Real-Time, Streamin...Ready for Fast Data: How Lightbend Enables Teams To Build Real-Time, Streamin...
Ready for Fast Data: How Lightbend Enables Teams To Build Real-Time, Streamin...
 
Sandeep_Chaudhary_CV
Sandeep_Chaudhary_CVSandeep_Chaudhary_CV
Sandeep_Chaudhary_CV
 
internship ppt.pptx
internship ppt.pptxinternship ppt.pptx
internship ppt.pptx
 

Recently uploaded

Inflation scarring: How has the cost-of-living crisis changed Britain?
Inflation scarring: How has the cost-of-living crisis changed Britain?Inflation scarring: How has the cost-of-living crisis changed Britain?
Inflation scarring: How has the cost-of-living crisis changed Britain?ResolutionFoundation
 
Writing Sample-Title: Pioneering Urban Transformation: The Collective Power o...
Writing Sample-Title: Pioneering Urban Transformation: The Collective Power o...Writing Sample-Title: Pioneering Urban Transformation: The Collective Power o...
Writing Sample-Title: Pioneering Urban Transformation: The Collective Power o...Rahsaan L. Browne
 
Item # 4 -- 525 Argo Avenue ARB Case 926F
Item # 4 -- 525 Argo Avenue ARB Case 926FItem # 4 -- 525 Argo Avenue ARB Case 926F
Item # 4 -- 525 Argo Avenue ARB Case 926Fahcitycouncil
 
一比一原版(MQU毕业证)麦考瑞大学毕业证成绩单
一比一原版(MQU毕业证)麦考瑞大学毕业证成绩单一比一原版(MQU毕业证)麦考瑞大学毕业证成绩单
一比一原版(MQU毕业证)麦考瑞大学毕业证成绩单enbam
 
一比一原版(UWA毕业证)西澳大学毕业证成绩单
一比一原版(UWA毕业证)西澳大学毕业证成绩单一比一原版(UWA毕业证)西澳大学毕业证成绩单
一比一原版(UWA毕业证)西澳大学毕业证成绩单enbam
 
researching client.pptxffffffffffffffffffffffffff
researching client.pptxffffffffffffffffffffffffffresearching client.pptxffffffffffffffffffffffffff
researching client.pptxfffffffffffffffffffffffffflolsDocherty
 
PPT Item # 9 - 2024 Street Maintenance Program(SMP) Amendment
PPT Item # 9 - 2024 Street Maintenance Program(SMP) AmendmentPPT Item # 9 - 2024 Street Maintenance Program(SMP) Amendment
PPT Item # 9 - 2024 Street Maintenance Program(SMP) Amendmentahcitycouncil
 
Near and Not Lost Yale Historical Review
Near and Not Lost Yale Historical ReviewNear and Not Lost Yale Historical Review
Near and Not Lost Yale Historical Reviewyalehistoricalreview
 
一比一原版(UOW毕业证)伍伦贡大学毕业证成绩单
一比一原版(UOW毕业证)伍伦贡大学毕业证成绩单一比一原版(UOW毕业证)伍伦贡大学毕业证成绩单
一比一原版(UOW毕业证)伍伦贡大学毕业证成绩单enbam
 
Minority economic forum Executive Summary
Minority economic forum Executive SummaryMinority economic forum Executive Summary
Minority economic forum Executive SummaryRDE GROUP CORP
 
30052024_FI_Ministry of Agriculture final.pptx
30052024_FI_Ministry of Agriculture final.pptx30052024_FI_Ministry of Agriculture final.pptx
30052024_FI_Ministry of Agriculture final.pptxElina461731
 
2024: The FAR - Federal Acquisition Regulations, Part 35
2024: The FAR - Federal Acquisition Regulations, Part 352024: The FAR - Federal Acquisition Regulations, Part 35
2024: The FAR - Federal Acquisition Regulations, Part 35JSchaus & Associates
 
Hub Design Inspiration Graphics May 24 2024.pdf
Hub Design Inspiration Graphics May 24 2024.pdfHub Design Inspiration Graphics May 24 2024.pdf
Hub Design Inspiration Graphics May 24 2024.pdfStephen Abram
 
Ghana High Commission on list of diplomats including US & China who owe £143m...
Ghana High Commission on list of diplomats including US & China who owe £143m...Ghana High Commission on list of diplomats including US & China who owe £143m...
Ghana High Commission on list of diplomats including US & China who owe £143m...Kweku Zurek
 
Proposed Facility Types: Chesapeake Trails and Connectivity Plan
Proposed Facility Types: Chesapeake Trails and Connectivity PlanProposed Facility Types: Chesapeake Trails and Connectivity Plan
Proposed Facility Types: Chesapeake Trails and Connectivity PlanCity of Chesapeake
 
PPT Item # 7 - BB Inspection Services Agmt
PPT Item # 7 - BB Inspection Services AgmtPPT Item # 7 - BB Inspection Services Agmt
PPT Item # 7 - BB Inspection Services Agmtahcitycouncil
 
Canadian Immigration Tracker March 2024 - Key Slides
Canadian Immigration Tracker March 2024 - Key SlidesCanadian Immigration Tracker March 2024 - Key Slides
Canadian Immigration Tracker March 2024 - Key SlidesAndrew Griffith
 
CrossWalksInspirations for Brockville***
CrossWalksInspirations for Brockville***CrossWalksInspirations for Brockville***
CrossWalksInspirations for Brockville***Stephen Abram
 
OilChange: Big Oil Reality Check May 2024
OilChange: Big Oil Reality Check May 2024OilChange: Big Oil Reality Check May 2024
OilChange: Big Oil Reality Check May 2024Energy for One World
 
PPT Item # 5 - 5330 Broadway ARB Case # 930F
PPT Item # 5 - 5330 Broadway ARB Case # 930FPPT Item # 5 - 5330 Broadway ARB Case # 930F
PPT Item # 5 - 5330 Broadway ARB Case # 930Fahcitycouncil
 

Recently uploaded (20)

Inflation scarring: How has the cost-of-living crisis changed Britain?
Inflation scarring: How has the cost-of-living crisis changed Britain?Inflation scarring: How has the cost-of-living crisis changed Britain?
Inflation scarring: How has the cost-of-living crisis changed Britain?
 
Writing Sample-Title: Pioneering Urban Transformation: The Collective Power o...
Writing Sample-Title: Pioneering Urban Transformation: The Collective Power o...Writing Sample-Title: Pioneering Urban Transformation: The Collective Power o...
Writing Sample-Title: Pioneering Urban Transformation: The Collective Power o...
 
Item # 4 -- 525 Argo Avenue ARB Case 926F
Item # 4 -- 525 Argo Avenue ARB Case 926FItem # 4 -- 525 Argo Avenue ARB Case 926F
Item # 4 -- 525 Argo Avenue ARB Case 926F
 
一比一原版(MQU毕业证)麦考瑞大学毕业证成绩单
一比一原版(MQU毕业证)麦考瑞大学毕业证成绩单一比一原版(MQU毕业证)麦考瑞大学毕业证成绩单
一比一原版(MQU毕业证)麦考瑞大学毕业证成绩单
 
一比一原版(UWA毕业证)西澳大学毕业证成绩单
一比一原版(UWA毕业证)西澳大学毕业证成绩单一比一原版(UWA毕业证)西澳大学毕业证成绩单
一比一原版(UWA毕业证)西澳大学毕业证成绩单
 
researching client.pptxffffffffffffffffffffffffff
researching client.pptxffffffffffffffffffffffffffresearching client.pptxffffffffffffffffffffffffff
researching client.pptxffffffffffffffffffffffffff
 
PPT Item # 9 - 2024 Street Maintenance Program(SMP) Amendment
PPT Item # 9 - 2024 Street Maintenance Program(SMP) AmendmentPPT Item # 9 - 2024 Street Maintenance Program(SMP) Amendment
PPT Item # 9 - 2024 Street Maintenance Program(SMP) Amendment
 
Near and Not Lost Yale Historical Review
Near and Not Lost Yale Historical ReviewNear and Not Lost Yale Historical Review
Near and Not Lost Yale Historical Review
 
一比一原版(UOW毕业证)伍伦贡大学毕业证成绩单
一比一原版(UOW毕业证)伍伦贡大学毕业证成绩单一比一原版(UOW毕业证)伍伦贡大学毕业证成绩单
一比一原版(UOW毕业证)伍伦贡大学毕业证成绩单
 
Minority economic forum Executive Summary
Minority economic forum Executive SummaryMinority economic forum Executive Summary
Minority economic forum Executive Summary
 
30052024_FI_Ministry of Agriculture final.pptx
30052024_FI_Ministry of Agriculture final.pptx30052024_FI_Ministry of Agriculture final.pptx
30052024_FI_Ministry of Agriculture final.pptx
 
2024: The FAR - Federal Acquisition Regulations, Part 35
2024: The FAR - Federal Acquisition Regulations, Part 352024: The FAR - Federal Acquisition Regulations, Part 35
2024: The FAR - Federal Acquisition Regulations, Part 35
 
Hub Design Inspiration Graphics May 24 2024.pdf
Hub Design Inspiration Graphics May 24 2024.pdfHub Design Inspiration Graphics May 24 2024.pdf
Hub Design Inspiration Graphics May 24 2024.pdf
 
Ghana High Commission on list of diplomats including US & China who owe £143m...
Ghana High Commission on list of diplomats including US & China who owe £143m...Ghana High Commission on list of diplomats including US & China who owe £143m...
Ghana High Commission on list of diplomats including US & China who owe £143m...
 
Proposed Facility Types: Chesapeake Trails and Connectivity Plan
Proposed Facility Types: Chesapeake Trails and Connectivity PlanProposed Facility Types: Chesapeake Trails and Connectivity Plan
Proposed Facility Types: Chesapeake Trails and Connectivity Plan
 
PPT Item # 7 - BB Inspection Services Agmt
PPT Item # 7 - BB Inspection Services AgmtPPT Item # 7 - BB Inspection Services Agmt
PPT Item # 7 - BB Inspection Services Agmt
 
Canadian Immigration Tracker March 2024 - Key Slides
Canadian Immigration Tracker March 2024 - Key SlidesCanadian Immigration Tracker March 2024 - Key Slides
Canadian Immigration Tracker March 2024 - Key Slides
 
CrossWalksInspirations for Brockville***
CrossWalksInspirations for Brockville***CrossWalksInspirations for Brockville***
CrossWalksInspirations for Brockville***
 
OilChange: Big Oil Reality Check May 2024
OilChange: Big Oil Reality Check May 2024OilChange: Big Oil Reality Check May 2024
OilChange: Big Oil Reality Check May 2024
 
PPT Item # 5 - 5330 Broadway ARB Case # 930F
PPT Item # 5 - 5330 Broadway ARB Case # 930FPPT Item # 5 - 5330 Broadway ARB Case # 930F
PPT Item # 5 - 5330 Broadway ARB Case # 930F
 

ML_Internship Presentation_Infidata_2021.pptx

  • 2. INTERNSHIP DOMAIN: MACHINE LEARNING Internship Work on “Your Project Name" c Student Name College Name Branch USN / Reg No Internship Duration 4 Weeks ( 1st September 2021to 30th September 2021) Company Internship Guide Your Guide Name , Designation 2
  • 3. Internship Tasks 3 1. About Company 2. Internship Task 3. Introduction on Project work / Roles 4. Software / Hardware Tools Details 5. Implementation Details 6. Skills Utilized 7. What I Learnt ? 8. Internship Outcomes 9. Project Demo / Screenshots 10. Conclusion
  • 4. About company InfiData Technologies An ISO 9001:2015 Certified IT Company, Accreditated by An International Accreditation Service (IAS). Head quartered in "silicon valley" of India Bengaluru, started in the year 2015. We are highly specialized in the design and development of websites, software application development,mobile app development,E-Commerce solutions and more. Our team of expert professionals works on the latest software tools and technologies to give the best and promising services to our customers. 4 OUR SERVICES Development | Training |Consulting Address: #1421, 1st Floor,16th B Cross, Sri Radha Building, Opp.To Dr. Agarwal Eye Hospital, Yelahanka New Town, Bengaluru-64 www.infidata.in | info@infidata.in
  • 5. Internship Tasks 5 1. Working with python libraries 2. Working with ML Algorithms 3. Activities on Model Building 4. Project Development with datasets 5
  • 6. Introduction to Project Work / Roles • Loan Approval Prediction. In this article, we are going to solve the Loan Approval Prediction. • the loan will be approved or not. This is a classification problem in which we need to classify whether the loan will be approved or not. Predicting modeling modeling Classification refers to a predictive modeling problem where a class label is predicted for a given example of input data. personal information Applicants provides the system about their personal information and according to their information system gives his status of availability of loan. • A time limit can be set for the applicant to check whether his/her loan can be sanctioned or not. • Loan Prediction is very helpful for employee of banks as well as for the applicant also. 6
  • 7. Software / Hardware Tools Details Software: • Python 3.6/3.7 • Anaconda Navigator • Jupyter notebook Hardware : • Minimum PC Requirements 7
  • 8. Implementation Details 8 8 • We have used multiple algorithms for Loan Prediction like Decision Tree, K-Nearest Neighbor(KNN) Algorithm, Logistic Regression, ... • A decision tree is a non-parametric supervised learning algorithm, which is utilized for both classification and regression tasks • Machine learning is a field of computer science that involves the learning of pattern identification and computational learning theory in artificial intelligence • Loan Dataset is very useful in our system for prediction of more accurate result. Using the loan Dataset the system will automatically predict which costumer’s loan it should approve and which to reject. • System will accept loan application form as an input. • Typically , Here the system separate a dataset into a training set and testing set ,most of the data use for training ,and a smaller portions of data is use for testing. after a system has been processed by using the training set, it makes the prediction against the test set • Data cleaning and processing:In Data cleaning the system detect and correct corrupt or inaccurate records from database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing , modifying or detecting the dirty or coarse data. I
  • 9. Skills Utilized 1. Software Engineering Skills 2. Algorithms and Model Building 3. Administrative and collaboration tools using Github. 9
  • 11. What I learnt ? 11 Technical skills: ● Python ● ML Algorithms ● Working with Libraries and datasets ● Frameworks Soft skills: ● Teamwork in an international working environment ● Communication skills ● design Working culture Management skills: ● project management, ● time management ● and more
  • 12. Internship Outcomes ● Now I am able to design applications ● Working with SDLC Approach ● Growth : Critical Thinking and analysis ● Lead the team andprojects ● (Add if any) 12
  • 13. Project Demo / Screenshots
  • 14. Conclusion This internship has been an excellent and rewarding experience. It was a great opportunity to improve personal and professional skills. These valuable skills have boosted my professional skills to a higher level and prepare me for futurecareer. 14