Oumaima Fisaoui
2f7977a95a
Chore(AI): Fix sp500 subject and audit
2 months ago
Oumaima Fisaoui
1d34ea0a71
Chore(DPxAI): Fix format
2 months ago
Oumaima Fisaoui
75472c0ed6
Chore(DPxAI): Fix format
2 months ago
Oumaima Fisaoui
cccab05477
Chore(DPxAI): Fix format
2 months ago
Oumaima Fisaoui
aa54ab1e66
Chore(DPxAI): Fix format
2 months ago
Oumaima Fisaoui
62486ed720
Chore(DPxAI): Fix the accuracy on test set
2 months ago
Oumaima Fisaoui
659074232f
Chore(AI): Fix emotions detector
2 months ago
OUMAIMA FISAOUI
9c9adb1c88
Fix(Pipeline): Fix irradiat attribute values
2 months ago
OUMAIMA FISAOUI
00813d29e9
Fix(Pipeline): fix formatting
2 months ago
OUMAIMA FISAOUI
fe5f82edcf
Fix(Pipeline): fix datafile data info and example do not match
2 months ago
OUMAIMA FISAOUI
411220450c
Docs(DPxAI): Fix project instructions
2 months ago
miguel
bf5260262f
fix(ai/numpy): fix readme and audit
8 months ago
miguel
ac0e7766ed
fix(numpy): fix results and improve readme and audit
8 months ago
miguel
e429888bf4
fix(numpy):fix the readme and audit
8 months ago
nprimo
8af7171be3
docs(credit-scoring): update files provided
8 months ago
nprimo
463f598c4c
chore(credit-scoring): fix small grammar and format mistakes
8 months ago
nprimo
42c749190b
docs(credit-scoring): add link to data documentation
8 months ago
nprimo
2de13717c9
feat(sp500-strategies): rephrase question to have a clear yes/no answer
8 months ago
nprimo
8c5830f677
chore: run prettier
8 months ago
nprimo
4032f00d3c
feat(sp500-strategies): clarify audit question
8 months ago
nprimo
9452b23b05
chore: run prettier
8 months ago
nprimo
a0b925dece
feat(sp500-strategies): fix small grammar mistakes and improve clarity of subject
8 months ago
nprimo
d3e7e4500d
chore: run prettier
8 months ago
nprimo
1f9c0db5ad
feat(training): updated expected result for ex05/q1
8 months ago
nprimo
b19e6dd7d5
chore(forest-prediction): run prettier and fix small grammar mistake
8 months ago
nprimo
883d691868
feat(forest-prediction): substitute broken link
8 months ago
nprimo
c4edd02d3e
feat(emotions-detector): fix broken link
8 months ago
nprimo
ab205d6bfa
chore(nlp): run prettier
8 months ago
nprimo
ceea4bd5f9
feat(nlp): substitute broken link
8 months ago
nprimo
187ca1884b
feat(nlp-scraper): fix broken link and remove optional part with broken URL
8 months ago
nprimo
6a255bea71
chore: run prettier
8 months ago
nprimo
975d5ebc59
chore(emotions-detector): fix format
8 months ago
nprimo
12886863c2
feat(emotions-detector): add `test_with_emotions.csv` to provided zip file
8 months ago
nprimo
7c10f18705
feat(emotions-detector): provide links to dataset in text
...
- format text
8 months ago
nprimo
b3ff07714c
chore(pandas): run prettier
8 months ago
nprimo
c4894a2fbb
feat(pandas): update expected outcomes for ex2 audit
...
- update expected results for questions 8, 9 and 11
8 months ago
nprimo
b265d83e92
feat(training): update expected results for ex3
8 months ago
nprimo
ce8a0b67a8
chore(emotion-detector): fix small grammar mistakes
9 months ago
nprimo
a1aee997f9
feat(emotion-detector): refine structure of the project
9 months ago
sagarishere
6f44fa85a7
Same Ques was repeated twice in README.md
...
As the same questionw as repeated twice, I just made it shorter.
9 months ago
nprimo
d40ec29cf3
feat(nlp-scraper): restructure subject and audit to avoid storing big files in solution
9 months ago
nprimo
700efcb57b
feat(nlp-scraper): improve audit and subject
...
- add details for question about checking "overfitting"
- remove not so clear suggestion
- move creation of `topic_classifier.pkl` to audit phase
9 months ago
Niccolò Primo
c6d8ca334a
CON-2393 clarify output of `nlp_enriched_news.py` script ( #2419 )
...
* chore(nlp-scraper): fix small grammar mistakes and improve readability
* feat(nlp-scraper): add link to datasets provided
* feat(nlp-scraper): add clarification about sentiment analysis
* feat(nlp-scraper): define how many articles are expected to be scraped
* chore(nlp-scraper): improve grammar and readability
* chore(nlp-scraper): fix typos
* feat(nlp-scraper): add label to link
* feat(nlp-scraper): remove audit question not related to the project
* refactor(nlp-scraper): refactor question
* chore(nlp-scraper): fix small typos
* feat(nlp-scraper): add information on how to calculate scandal
* feat(nlp-scraper): adde details to the delivrable section
* feat(nlp-scraper): add reference to subject in audit
* feat(nlp-scraper): update project structure
- run prettier
* feat(nlp-scraper): complete sentence in subject intro
-make formatting consistent with 01 subject
9 months ago
nprimo
bda95dbf06
refactor(nlp-scraper): refactor question
9 months ago
nprimo
6a8459a2ff
feat(nlp-scraper): remove audit question not related to the project
9 months ago
nprimo
ac4b904a66
feat(nlp-scraper): add lable to link
9 months ago
nprimo
a3091f95c6
chore(nlp-scraper): fix typos
9 months ago
nprimo
2e5863c6c8
chore(nlp-scraper): improve grammar and readibility
9 months ago
nprimo
81dfb0e190
feat(nlp-scraper): define how many articles are expected to be scraped
9 months ago
nprimo
565e3063aa
feat(nlp-scraper): add clarification about sentiment analysis
9 months ago