You will get Comparative Study of Machine Learning Models
Project details
The process will start by preparing and cleaning the data, then selecting the appropriate features and models. Techniques for examining the data and creating visualizations will be applied to gain deeper insights. Once the models are trained, their performance will be assessed and the findings will be thoroughly examined to produce a report. The final deliverable will include the trained models, visualizations, and a report summarizing the results and understandings gained from the data analysis.
What's included
| Service Tiers |
Starter
$60
|
Standard
$120
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 4 |
Number of Model Variations | 2 | 3 | 5 |
Number of Scenarios | 1 | 1 | 2 |
Number of Graphs/Charts | 2 | 4 | 7 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $300
Additional Revision
+$30
Additional Model Variation
(+ 1 Day)
+$30
Additional Graph/Chart
(+ 1 Day)
+$10
Model Documentation
(+ 1 Day)
+$70About Abhishek
Data Science | Machine Learning | NLP | Computer Vision | Time Series
Mathura, India - 8:31 am local time
During my undergraduate study, I worked on many computer vision and machine learning projects and published 2 research papers in various areas of Machine Learning. I have expertise in developing and deploying Machine Learning models for various applications such as image classification, image captioning, and time series analysis.
I have hands-on experience with various Machine Learning and Deep Learning frameworks such as CNN, ANN, LSTM, Transformers, BERT, Transfer Learning, VGG variants, and feature extraction from CNN with ML classifiers. I am proficient in Python and Java programming and have experience with Android Native and Flutter for app development.
I have also worked with various tools such as StreamLit, Heroku, AWS(SageMaker & EC2), and Microsoft Excel for developing and deploying Machine Learning models. I have experience building REST APIs using Flask and have worked on various cloud platforms like AWS and Heroku.
I am passionate about solving complex problems and developing innovative solutions using Machine Learning and Deep Learning. I am committed to providing high-quality work and ensuring customer satisfaction. Let's work together to bring your ideas to life!
If you have any questions or want to discuss your project in more detail, don't hesitate to contact me.
🎯 𝐒 𝐊 𝐈 𝐋 𝐋 𝐒
-------------------------
𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 :
- Different ML Algorithms (from scratch)
- Classification
- Regression
- DNN,
- RNN/LSTM,
- GAN,
- Transformers,
- Auto-Encoders,
- Ensemble Learning
- Boosting,
- Random forest,
𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 :
- Java,
- Python,
- Dart,
𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸/𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 :
- Tensorflow,
- Keras,
- Pandas,
- Scikit-learn,
- Open CV,
- SpaCy,
- NLTK,
- Others as well based on experience.
𝗧𝗼𝗼𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 :
- Jupyter-notebook
- Google Colab
- Pycharm
Steps for completing your project
After purchasing the project, send requirements so Abhishek can start the project.
Delivery time starts when Abhishek receives requirements from you.
Abhishek works on your project following the steps below.
Revisions may occur after the delivery date.
Clear Requirements from Client