Hire Python developer to Add extra value to your business
You will get out of the box benefits by choosing MadhuRebba Technology as your Python development partner. Hire Python developer or team from us for your short-term tasks, full-time projects, or re-curing assignments with top-notch expertise.
Full-time Senior Python Programmers for Hire
Leverage Below Benefits
✓ Flexible hiring models
✓ 100% source code authorization
✓ Premium code quality with accuracy
✓ Skilled and experienced programmers
✓ Adherence to the project timeline
✓ Excellent communication skills
Positive Outsourcing Experience
Along with Python, We are offering End to End Development Expertise
At Madhurebba, we have top-of-the-line expertise in serving with a number of latest tools, technologies, frameworks, and components such as Django, Falcon, Flask, Tornado, etc., to build scalable web architectures, so you don’t have to bother about flexibility and scalability when your product develops
Simple & Transparent Pricing | Fully Signed NDA | Code Security | Easy Exit Policy
4 to 6 Years of Exp. Python Developer
|Libraries||Fabric Requests PikaGdata Urlib2Pillow/PILwxPythonScrapy|
|Tools & Utilities||AsyncioNumPySouthBeautiful SoapCeleryPycryptoFactory BoySqlalchemyGunicornPyQtVirtualenvMemcached|
|Databases||MySQL Oracle SQLiteMS SQLMongoDBPostgressRedis|
|PM Tools||Jira TrelloSlack|
|ORMs||QLAlchemy & Django|
|General framework & Libraries||RequestsPillowScrapy|
|Editors & IDES||PyCharm Professional EditionVS CodePyCharm Community Edition|
Is 15 days risk-free trial period completely free?
Apart from prediction and classification, in what other projects I can use AI and ML?
- Image Processing (Correct image quality, Image Analysis, Image Synthesizing, Image Captioning)
- Text Generation (For Q&A, Chatbot Response, Text Summarization)
- Video Processing (Identifying actions and humans present in the video, Video summarization)
How much data is required to build an AI and ML-based solution?
What specific type of data is required to implement AI and ML?
- Tabular data
What are the limitations of AI and ML?
- Unavailability of a large number of training samples.
- Labeling of Data – As deep learning and conventional machine learning algorithms are supervised, i.e., they need data and their label to capture the semantics of work to be done. It is a manual process and eats up more time than actually building models. It also adds biases in data as humans are prone to error when it comes to accurately annotating data, e.g. Annotating car parts for detecting damage. Model build with such data generally doesn’t converse with reasonable accuracy.
- Adopting Generality – Ml/DL algorithms are not able to produce the same results when deployed to different scenarios than the scenario used while training. So, to make it work in a different situation, a retraining model is required.
- Unable to explain what is going on inside the model and hence challenging to debug. However, various analytical tools can help with this.