I’m having problems with applying rf model to some tabular data, this is histogram of target variable: Tried to combine over with under sampling, but that lead to the lower accuracy. Any ideas how to improve accuracy? 1 post - 1 participant Read full topic ..read more

Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Click here !!! 1 post - 1 participant Read full topic ..read more

CompTIA certification is awarded by the Computing (Comp) Technology Industry Association (TIA). This non-profit trade association offers training, certification, and skills confirmation for IT professionals. As a highly respected organization in the industry, it’s awarded certificates to more than two million people. Click here !!! 1 post - 1 participant Read full topic ..read more

Hadoop is an open source framework based on Java that manages the storage and processing of large amounts of data for applications. Hadoop uses distributed storage and parallel processing to handle big data and analytics jobs, breaking workloads down into smaller workloads that can be run at the same time. please click the link below to attend the training at promotion : REGISTER HERE !!! 1 post - 1 participant Read full topic ..read more

Hi everyone, this is my first post here - so please be patient! I am starting playing with fastai. I need some help if you please. I have a time series with date-time, temperature and Humidity from 2015 to 2023. The time step its every 20 min. It looks like: date-Time Temperature Humidity 16/9/2018 4:30 15.9 100 16/9/2018 4:50 15.8 100 I made this quick code reading the book. import pandas as pd from fastai.tabular.all import * df = pd.read_csv(‘AgSpiridon_short.csv’) dls = TabularDataLoaders.from_csv(‘AgSpiridon_short.csv’, y_names=“Temperature”, cat_names = [‘date-Time’], cont_names = [‘Humi ..read more

Based on Stack Overflow post. I’m new to fastai. fastai 2.7.5 fastcore 1.4.5 nbdev 1.2.10 torch 1.13.0 torchvision 0.13.0 from fastai import load_learner learn = load_learner('export_2.pkl', cpu=False) >>> ImportError: cannot import name 'load_learner' from 'fastai' (/home/daniel/miniconda3/envs/pdl1lung/lib/python3.9/site-packages/fastai/__init__.py) 4 posts - 2 participants Read full topic ..read more

I am a newbie in Data Science, and wanted to gain deeper application + hands-on knowledge on the same. I was wondering should I start with fastai’s Machine Learning course from 2018 - Introduction to Machine Learning for Coders: Launch · fast.ai , or the latest Deep Learning course :- https://course.fast.ai/ would suffice. I believe the ML course is on an older version of fastAi. Thanks in advance! 2 posts - 2 participants Read full topic ..read more

Hi all, 2 days ago I tried to setup an Amazon SageMaker notebook server: no fastai kernel showed up in the drop down list for kernel selection. Should this kernel still be available? 1 post - 1 participant Read full topic ..read more

I was running notebooks of ML course Got Following error when running fowwing " from fastai.structured import * " ----> 1 from sklearn.ensemble import forest ImportError: cannot import name ‘forest’ from ‘sklearn.ensemble’ (/usr/local/anaconda3/envs/fastai/lib/python3.7/site-packages/sklearn/ensemble/init.py) So I went through modules names in github using following this github.com scikit-learn/sklearn/ensemble at main · scikit-learn/scikit-learn main/sklearn/ensemble scikit-learn: machine learning in Python. Contribute to scikit-learn/scikit-learn development by creating an account on GitH ..read more

Hello All, I am switching from my current field which is web developer to machine learning engineer. I want to know, Is it the right choice to start a career in this field? Can anyone explain me whats the job responsibility of a machine learning engineer and what skills we should have for this? I have checked some soft and hard skills on this article and looking for your opinion. 1 post - 1 participant Read full topic ..read more