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I will complete machine learning python projects with accuracy


Sobre este Serviço
About this Gig
Note : We can discuss before and after placing an order.
I will always assist you in your machine learning python projects.
I am a ML Scientist have working on various projects that are below mentioned.
-Work experience in the field of machine learning (unsupervised, supervised, reinforcement learning)
-Work experience in the field of time series forecasting (RNNs, LSTM, etc.)
-Work experience in the field of deep learning (ANN, CNN, RNN, GAN, etc.)
-Work experience in the field of computer vision (object detection and others)
and i can deal with any projects related to these
--Problems related to classification
--Regression
--Clustering (KMeans, DBSCAN HDBSCAN Hierarchical Clustering and Others)
--Data analysis (Pandas Numpy Others)
--Data visualisation (Matplotlib Seaborn), dimension reduction (PCA LDA )
--Reinforcement learning (Policy, Reward and Others)
--Problems Associated with Prediction
and i can also predict your data with various models are listed below
--The Linear Regression
--KMeans
--Random Forest
--Gradient Boosting
--Decision Tree SVM
--Naive Bayes KNN
--Logistic Regression
Contact me anytime
Regards
Musaddiq
Conheça mais sobre Musaddiq
- A partir dePaquistão
- Membro desdefev. de 2024
Idiomas
Inglês, Francês, Alemão, Árabe
Perguntas frequentes
What is the most important part of a machine learning project?
Data preprocessing is the most important part of a machine learning project because this step helps in building more accurate machine learning models. Data scientists devote up to 80% of their time to data preprocessing for the best results.
How do you practice machine learning projects?
You need to understand the business problem and come up with a rough idea of how you are going to use machine learning to solve it. Look for research papers, open source projects, tutorials, and similar applications used by other companies. Make sure your solution is realistic, and data is available
How do I run a machine learning project?
It can be broken down into 7 major steps : Collecting Data Preparing the Data Choosing a Model Training the Model Evaluation Parameter Tuning Making Predictions
Where can I practice machine learning?
* Introduction to Machine Learning Websites * Kaggle * OpenML * Google AI * Coursera * Deeplearning.ai * FastAI
Which ML project is best?
* 3) Music Recommendation System ML Project * 4) Iris Flowers Classification ML Project * 5) Stock Prices Predictor using TimeSeries * 6) Predicting Wine Quality using Wine Quality Dataset * 7) MNIST Handwritten Digit Classification * 8) Build a Movie Recommender System Movielens Dataset

