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Data Science Internship: Real Estate Price Prediction

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Orientation on:

Saturday, December 10, 2022

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1,999
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Rated

4.8

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(Out of 5)

Orientation on: Sat, 10th Dec' 22, 06:00 PM
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Data Science Internship: Real Estate Price Prediction

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Starts From:
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Tutorials:
15
Duration icon
Duration: 
4 weeks
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Starts From:
Duration icon
Duration: 
4 weeks
No of Seats Booked Icon
Eligibiliity:
Any Graduate
No of Seats Booked Icon
Early Bird Price:
1,999
2,500
No of Seats Booked Icon
Orientation:
Dec 10, 2022 6:00 PM

About Internship

Property prices play the most significant role in buyers' decisions. If the price of a home is inconsistent, buyers' decisions get negatively influenced.

In this internship students will use libraries like numpy, pandas and techniques like linear regression and data visualization in Python to develop the model.

Skills you can learn in this course

Advanced Python
numpy
pandas
Data Science

Instructors

Aneeq

Aneeq Dholakia has trained thousands of students from tier 2/3/4 colleges and helped them achieve their dream companies. Aneeq excels at training for competitive programs like TCS, CodeVita, HackWithInfy and product companies like JP Morgan, ServiceNow, Adobe, Amazon and more.

Shubham

Shubham Lal, is a Software Developer (SDE-2 ) at Microsoft who has mentored 5,000+ students and has been invited as a speaker in 20+ events. As an instructor, Shubham has worked with leading EdTech's in India.

Verifiable Certificate

You can share your Internship Certificate in the certifications section of your LinkedIn profile, on printed resume or other documents.

All certificate images are for illustrative purposes only and may be subject to change at the discretion of Edyst

You Will Get :-

Joining Letter Icon
Joining Letter
Internship Report Icon
Internship Report
(as per AICTE guidelines)
Certificate of Completion Icon
Certificate of Completion
Guidance on uploading project to Github
Guidance on uploading project to Github
Guidance on how to explain project to interviewer
Guidance on how to explain project to interviewer
Guidance on how to put project in resume
Guidance on how to put project in resume
Doubt clearing session
Doubt clearing session
Exclusive guidance from industry mentor
Exclusive guidance from industry mentor
Improvise LinkedIn Profile
Improvise LinkedIn Profile
Enroll Now
*Orientation -
Dec 10, 2022 6:00 PM

Key Programme Takeways:-

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Increase interview call, internship experience letter + internship joining letter + internship evaluation report (as per AICTE guidelines)
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You’ll learn the easiest way to get rid of problems comes in data cleaning
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Plan and implement appropriate machine learning techniques in a simulated environments
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Leverage insights from the data to reach conclusions and showcase your enhanced skill set on LinkedIn and GitHub profile.
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Maximize engagement on new projects and work with CSE students from different colleges.

Why Edyst?

Other Platforms
Internship Evaluation Report
AICTE guidelines based internship evaluation report
No report
Curriculum
Designed by an industrial trainer working as SDE-2 at Microsoft with 5+ experience
Designed by a non-industrial trainer
Joining Letter & Experience Letter
Internship joining letter & experience letter adds credibility to your documents
No joining letter is provided
Lifetime Association
Lifetime association with Edyst - #1 Careers Community in India
Associated with a non credible institution
Credibility of Faculty
Learn from experts from top tech. globally famous product firms
Faculty working in less known IT service firm
Placement
100,000+ students have crack off campus interviews using our courses - check our students video testimonials below
No placement / reviews

Career Services

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Building an Impressive Project
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Building an Impressive GitHub Profile
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Internship Experience
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Project Explaining Guidance

Testimonials

Sai Lokesh

Placed in
Wipro
-
6.5 LPA

Initially, I had 0 experience in coding as I'm a mechanical student; then I came across Edyst, which took me from 0 to 1 in coding. Edyst helped me to understand things better and easier. The sessions were excellent and very helpful. The best part of their courses was the assignments; they were accommodating, and the mentors were too kind to help me even at midnight.

Diksha Sharma

Placed in
Accenture
-
4.5 LPA

Edyst platform gave a place to practice as many questions as possible, and their live sessions were highly informative; most importantly, they resolved all students' queries.

Abhishek Pulaparthi

Placed in
Capgemini
-
4 LPA

Edyst live chat support played the most crucial role in my learning and placement; I used to chat with students from coding backgrounds to clear my doubts as I'm from Non-CS background. Thank you, Edyst.

Anirudh

Placed in
DXC Technology
-

Initially, I was reluctant to join Edyst. I wanted to check in and make sure all my questions will be answered or not, but the Edyst coding platform not only helps me to understand how to approach a particular question but how I can get better at coding.

Ria

Placed in
OLX
-
20 LPA

Pruthviraj

Placed in
Futurense
-
9.5 LPA

Vaishnavi

Placed in
ServiceNow
-
24 LPA

Edyst's training style completely resonated with me. I approached programming as more than a subject. Thanks to Edyst team for the guidance!

Sakila

Placed in
Adobe
-
12 LPA

I started practising on Edyst platform since my 3rd year of college focused on placements & always liked the way they helped us when we were stuck at a particular problem.
Thank you, Edyst for all the assistance and amazing support!

Sriram

Placed in
Seawise Capital
-
8 LPA

When I joined the Edyst courses I received personalized mentoring on how to crack coding rounds of different companies. Through a combination of coding skills and great projects, I received multiple offers above 6+ lakhs per annum. Finally I joined for 8+ Lakhs package. Thanks for all the support, from Edyst Team.

Harika

Placed in
DBS
-
7 LPA

I feel the best thing about edyst is its company-specific guidance and the huge problem sets covering up almost all the concepts from beginner to advanced concepts, it helped me a lot for my placement preparation

Enroll Now
*Orientation -
Dec 10, 2022 6:00 PM

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No of Seats Booked Icon
Price:
1,999
2,500
Orientation on: Sat, 10th Dec' 22, 06:00 PM
00
Days
00
Hrs
00
Min
00
Sec

Course Schedule

Testimonials

Sai Lokesh

Placed in
Wipro
-
6.5 LPA

Initially, I had 0 experience in coding as I'm a mechanical student; then I came across Edyst, which took me from 0 to 1 in coding. Edyst helped me to understand things better and easier. The sessions were excellent and very helpful. The best part of their courses was the assignments; they were accommodating, and the mentors were too kind to help me even at midnight.

Diksha Sharma

Placed in
Accenture
-
4.5 LPA

Edyst platform gave a place to practice as many questions as possible, and their live sessions were highly informative; most importantly, they resolved all students' queries.

Abhishek Pulaparthi

Placed in
Capgemini
-
4 LPA

Edyst live chat support played the most crucial role in my learning and placement; I used to chat with students from coding backgrounds to clear my doubts as I'm from Non-CS background. Thank you, Edyst.

Anirudh

Placed in
DXC Technology
-

Initially, I was reluctant to join Edyst. I wanted to check in and make sure all my questions will be answered or not, but the Edyst coding platform not only helps me to understand how to approach a particular question but how I can get better at coding.

Ria

Placed in
OLX
-
20 LPA

Pruthviraj

Placed in
Futurense
-
9.5 LPA

Vaishnavi

Placed in
ServiceNow
-
24 LPA

Edyst's training style completely resonated with me. I approached programming as more than a subject. Thanks to Edyst team for the guidance!

Sakila

Placed in
Adobe
-
12 LPA

I started practising on Edyst platform since my 3rd year of college focused on placements & always liked the way they helped us when we were stuck at a particular problem.
Thank you, Edyst for all the assistance and amazing support!

Sriram

Placed in
Seawise Capital
-
8 LPA

When I joined the Edyst courses I received personalized mentoring on how to crack coding rounds of different companies. Through a combination of coding skills and great projects, I received multiple offers above 6+ lakhs per annum. Finally I joined for 8+ Lakhs package. Thanks for all the support, from Edyst Team.

Harika

Placed in
DBS
-
7 LPA

I feel the best thing about edyst is its company-specific guidance and the huge problem sets covering up almost all the concepts from beginner to advanced concepts, it helped me a lot for my placement preparation

Enroll Now
*Orientation -
Dec 10, 2022 6:00 PM

Course Syllabus

Revision of Python:

  1. Data Types in Python
  2. Arithmetic operations
  3. Loops and Iterations
  4. Comprehensions
  5. Functions in Python
  6. Map, Filter, and Reduce Functions
  7. Lists
  8. Tuples
  9. Sets
  10. Dictionaries

Numerical Python (NumPy)

  1. Introduction to NumPy
  2. Basics of NumPy
  3. Operations over 1-D Arrays
  4. Multidimensional Arrays
  5. Creating NumPy Arrays
  6. Mathematical Operations on NumPy
  7. Mathematical Operations on NumPy II
  8. Computational Times in NumPy vs Python Lists

Pandas

  1. Introduction to Pandas
  2. Basics of Pandas
  3. Pandas - Rows and Columns
  4. Describing Data
  5. Indexing and Slicing
  6. Operations on DataFrames
  7. Groupby and Aggregate Functions
  8. Merging DataFrames
  9. Pivot Tables

Exploratory Data Analysis

  1. Introduction to Univariate Analysis
  2. Categorical Ordered/Unordered Univariate Analysis
  3. Statistical on Numerical Features
  4. Correlation vs Causation
  5. Multivariate Analysis

Data Visualisation (Matplotlib)

  1. Introduction to Matplotlib
  2. The Necessity of Data Visualisation
  3. Visualisations - Some Examples
  4. Facts and Dimension
  5. Bar Graph
  6. Scatter Plot
  7. Line Graph and Histogram
  8. Box Plot
  9. Subplots
  10. Choosing Plot Types

Simple Linear Regression

  1. Introduction to Machine Learning
  2. Regression Line
  3. Best Fit Line
  4. Strength of Simple Linear Regression
  5. Assumptions in SLR
  6. Hypothesis Testing in LR
  7. Building a linear model
  8. Residual Analysis and Predictions
  9. Linear regression using SKLearn

Multiple Linear Regression

  1. Motivation - When one variable is not enough
  2. Moving from SLR to MLR
  3. Multicollinearity
  4. Model Assesssment and Comparison
  5. Feature Selection

Multiple Linear Regression in Python

  1. Reading and Understanding the data
  2. Data Preparation
  3. Building the Model
  4. Residual Analysis and Predictions
  5. Variable Selection using RFE

Problem Solving, Presentation and Story Telling

  1. House Price Prediction Case Study
  2. Prediction vs Projection
  3. EDA
  4. Model Building
  5. Assessing the Model
  6. Interpreting the results

Frequently Asked Questions

Is there any fee for the internship?
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Can I get a discount on the internship fee?
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Are the internship sessions live or recorded?
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Is there any prerequisite to joining this internship?
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Do we teach Data science?
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Are Working professionals eligible for this internship?
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What is the difference between this internship and a course?
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By when should I complete this?
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Is there any placement guarantee?
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Early Bird Offer is for limited time period only

Questions Icon
Starts From:
Duration icon
Duration: 
4 weeks
Duration icon
Eligibility:
Any Graduate
No of Seats Booked Icon
Early Bird Price:
1,999
2,500
No of Seats Booked Icon
Orientation:
Dec 10, 2022 6:00 PM
Enroll Now
*Early Bird Offer will be applied automatically at the time of payment
^