Basic Machine Learning - Creating, training and evaluating a model using python in jupyter notebook
Budget $10-30 USD
Job Description:
Jupyter Notebook Contents
The various sections in the notebook should include code, code comments and appropriate
Markup cells describing your approach chosen.
In detail, sections should include the following:
Introduction and Problem Definition
- Textual description providing an overview over the data
- A discussion on why this problem is a regression problem
- A detailed problem statement question as discussed in Lecture 3.
Data Ingestion
- Code to load the data into a suitable format to be used in the notebook
- A description of the statistical data types for each field in the file [login to view URL]
Data Preparation
You should assume that exploratory data analysis has taken place and the following was
concluded:
- Missing values are in the ‘temp’ and ‘atemp’ columns.
- The peak usage hours are: 7-9AM and 4-7PM on working days, and 10am-4pm on
non-working days.
- At night (10pm-4am) the bike rentals are low
- If the humidity or wind-speed is high, the number of rentals decreases.
Your data preparation steps should therefore include the following:
- Fill the missing values in the temperature columns automatically with values that
would most closely mirror the actual temperature.
- Create a new field that indicates whether it is a peak time or not
- Create a new field that indicates whether it is night time or not
- Remove all fields containing information about specific dates (‘yr’, ‘mnth’, ‘dteday’),
‘casual’ and ‘registered’ and any other variables that you deem irrelevant.
- A justification (and potential application) of whether you should use data binning or
not
- Suitable encoding of the data
Data Segregation
- Code and justification for the selection and application of a suitable data split
Model Training
- Selection of two different Regression models and justification why they are suitable.
Only one of those models should be Tree-Based (e.g. Random Forest or Decision
Tree)
- Application of those models as a baseline on the data
4
- Utilisation of manual or automatic hyperparameter optimization and justification of
your choices to create “optimized” versions of each regression model
Model Evaluation
- Selection of appropriate regression metrics and a written outline why they are
suitable for this data
- A comparison of the baseline models to the “optimized” versions and an evaluation
of the results
Conclusion
- A conclusion and interpretation of the results and suggestion of potential
improvement
26 freelancers are bidding on average $39 for this job
I'm a senior Python & ML developer and owner & founder of Dedeoglu Dev Company. Kindly send me a message to get in touch with me, Thanks, Yusuf
Hello, Nice meet you! I have read your project requirements and then I am sure I can complete that project. I can help you. Thank you
Hello there, I have reviewed your project requirements and understood your requirements as mentioned above. I have 5+ years of experience in this field. I believe in quality work with on-time delivery. Kindly initia More
Hi, I have checked your machine learning with Juptyer Notebook order and I am interested in doing it. I assure you to deliver satisfactory work. Please leave a message if you are interested. Thank you
****ML Expert****** Hi, I understand your problem statement and can be done. To have a brief about my background, Hi, I am Shubham, a driven and enthusiastic data scientist having a solid engineering background augmen More
Being a data science graduate, I have theoretical knowledge and practical experience in data analysis and model building using python.
My name is Prashant Kumar ,MTech Student, and I am a machine learning enthusiast. I am passionate about developing and applying machine learning algorithms to solve problems. I enjoy exploring how machine learning can More
Hi there, I am a data science even have some good knowledge in data analyst and I hade done a lot of similar projects you can see in my portfolio I can use jupyter notebook in python and I am very good in SQL too, usi More
Hi, I have checked your machine learning with Juptyer Notebook order and I am interested in doing it. I assure you to deliver satisfactory work. Please leave a message if you are interested. Thank you
Hey, I have read your job description and it sound doable to me. Please send me a message so that we can discuss more.
Hi, I have gone through your project requirements and I can assure you of excellent service in completing this project. I am experienced data scientist working at big corporations like Amazon and Samsung. I'll be ha More
Base on my experience and education i am a good fit for this role time and other thing we can discussed
❤❤ ML/AI/DL EXPERT ❤❤ Hello I have just read carefully and interested in your proposal. I have full of experience about python, ML, DL and etc. I can do it perfectly in a short time. ✔✔ i agree with your deadline.✔✔ Pl More
Hey I read the project description and I understand that you want to have a machine learning model built for a data set related to bike rental. In addition, I understand that there is some data manipulation, and analy More
I have studied computer science, and it would be my first project in freelancer website, but I already have many brilliant successful projects.
I have much experience building machine learning models And skills in data analysis. I can create and send you my notebook for $11. And for $15 I'd be open to make any much needed adjustments based on ur observations
I am expert in machine learning i have experience on that machine learning part so i can handle many projects easily
I've done a similar project lately so it should be fast to complete the task. I will also provide explanations (both written and within the code) to understand the structure :)
